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Computer Modeling in Engineering & Sciences
ARTICLE

DA-T3D: Distribution-Aware Cross-Modal Distillation Framework for Temporal 3D Object Detection

Knowledge distillation bridges the performance gap between camera-based and LiDAR-based 3D detectors by leveraging the precise geometric information from...

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Computer Modeling in Engineering & Sciences
REVIEW

A Review of Genetic Algorithms: Principles, Procedures, and Applications in Optimization

This paper provides a thorough examination of Genetic Algorithms (GAs), a category of evolutionary computation methods derived from the concepts of natural...

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Computer Modeling in Engineering & Sciences
REVIEW

A Review on Emerging Unified Information–Physics Frameworks for Structural Design: Toward Topology Optimization Informatics

Topology optimization (TO) has become a core computational paradigm for structural design by defining optimality through physics-based objectives and...

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Energy Engineering
ARTICLE

Data-Driven and Physics-Informed Surrogate Modeling for Heat Conduction in the Pressurizer Wall of Pressurized Water Reactors under Severe Accident Scenarios

Real-time prediction of temperature distribution in the pressurizer walls of Pressurized Water Reactors (PWRs) during severe accidents, such as Station...

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Energy Engineering
ARTICLE

Hydraulic Fracture Conductivity Loss Mechanisms for Unconsolidated Sands Considering Fine Migrations and Proppant Embedments

To investigate the mechanism governing the continuous decline in fracture conductivity of unconsolidated sandstone reservoirs post-hydraulic fracturing,...

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Energy Engineering
ARTICLE

Assessment of Carbon Reduction Potential Driven by High Energy Consumption Enterprises’ Electricity Usage Behavior

Addressing global climate challenges necessitates urgent low carbon transitions in high energy consuming enterprises (HECEs). This study proposes a comprehensive...

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Oncology Research
REVIEW

The Role of Immunotherapy in Resectable Non-Small Cell Lung Cancer

The advent of immune checkpoint inhibitors (ICIs) targeting PD-1, PD-L1, and CTLA-4 has transformed the therapeutic landscape of advanced non-small cell...

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Oncology Research
REVIEW

AI-Guided Discovery of Oncogenic Signaling Crosstalk in Tumor Progression and Drug Resistance

The rapid growth and accessibility of artificial intelligence (AI) and machine learning (ML) have opened many avenues to revolutionize biomedical research,...

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Oncology Research
REVIEW

Therapeutic Targets for Overcoming BCR::ABL1 Tyrosine Kinase Inhibitor Resistance in Chronic Myeloid Leukemia

Chronic myeloid leukemia (CML) is a hematopoietic malignancy originating from hematopoietic stem cells. It is characterized by the Philadelphia chromosome,...

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Oncology Research
REVIEW

Current Advances in Preclinical Patient-Derived Cultivation Models for Individualized Drug Response Prediction in Pancreatic Cancer

Pancreatic ductal adenocarcinoma (PDAC) is currently the third leading cancer-related cause of death worldwide and is forecasted to become the second...

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Computers, Materials & Continua
REVIEW

Multiscale Numerical Simulation of Dynamic Damage and Fracture in Metallic Materials: A Review

This paper provides a comprehensive review of recent advances in multi-scale modeling for simulating dynamic damage and fracture in metallic materials,...

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Computers, Materials & Continua
REVIEW

Task Offloading and Edge Computing in IoT—Gaps, Challenges and Future Directions

This review examines current approaches to real-time decision-making and task optimization in Internet of Things systems through the application of machine...

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Computers, Materials & Continua
REVIEW

3D Single Object Tracking in Point Clouds: A Review

3D single object tracking (SOT) based on point clouds is a fundamental task for environmental perception in autonomous driving and dynamic scene understanding...

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Computers, Materials & Continua
REVIEW

Applications of Machine Learning in Polymer Materials: Property Prediction, Material Design, and Systematic Processes

This paper reviews the research progress and application prospects of machine learning technologies in the field of polymer materials. Currently, machine...

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Computers, Materials & Continua
ARTICLE

Machine Learning-Enhanced Multiscale Computational Framework for Optimizing Thermoelectric Performance in Nanostructured Materials

The direct conversion of solid-state heat to electricity using thermoelectric materials has attracted attention; however, their effective application...

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Computers, Materials & Continua
ARTICLE

Robust Facial Landmark Detection via Transformer-Conv Attention

In facial landmark detection, shape deviations induced by large poses and exaggerated expressions often prevent existing algorithms from simultaneously...

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Oncology Research
Special Issue

Advances in the Discovery and Development of Novel Anticancer Compounds

The rapid evolution of chemical biology, medicinal chemistry, and molecular pharmacology continues to drive the discovery of innovative anticancer compounds...

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Oncology Research
Special Issue

Epigenetics and Epitranscriptomics in Cancer Biology and Therapy

Cancer development and therapeutic response are governed not only by genetic alterations but also by dynamic regulatory mechanisms at the epigenetic and...

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Energy Engineering
Special Issue

Model-based and Learning Methods for Optimization and Management of Energy Flows in Decentralized Smart Grids

The transition toward decentralized smart grids is reshaping the way energy is generated, exchanged, controlled, and consumed. The increasing penetration...

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BIOCELL
Special Issue

Epigenetic and ncRNA Biomarkers in Cancer: Diagnostic and Prognostic Value

Cancer remains one of the leading causes of morbidity and mortality worldwide, and its onset and progression are closely linked to dysregulated epigenetic...

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Journal of Polymer Materials
Special Issue

Innovative Smart Polymeric Materials for Sustainable Energy Solutions: Bridging Advances in Energy and Biomedical Applications

We propose a special issue titled "Innovative Smart Polymeric Materials for Sustainable Energy Solutions: Bridging Advances in Energy and Biomedical...

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Fluid Dynamics & Materials Processing
Special Issue

Fluid and Thermal Dynamics in the Development of Unconventional Resources III

Further advancements in the exploitation of unconventional resources, such as tight gas, shale gas, shale oil, coalbed methane, and natural gas hydrate,...

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Computer Modeling in Engineering & Sciences
Special Issue

Machine Learning and Deep Learning-Based Pattern Recognition

In today’s digital era, patterns are omnipresent, shaping many aspects of our lives. These patterns can be physically observed or computationally identified...

article image
Computer Modeling in Engineering & Sciences
Special Issue

Next-Generation Intelligent Networks and Systems: Advances in IoT, Edge Computing, and Secure Cyber-Physical Applications

The rapid evolution of next-generation intelligent networks and cyber-physical systems has transformed industries by enabling seamless connectivity, real-time...

article image
Computer Modeling in Engineering & Sciences
ARTICLE

DA-T3D: Distribution-Aware Cross-Modal Distillation Framework for Temporal 3D Object Detection

Knowledge distillation bridges the performance gap between camera-based and LiDAR-based 3D detectors by leveraging the precise geometric information from...

article image
Computer Modeling in Engineering & Sciences
REVIEW

A Review of Genetic Algorithms: Principles, Procedures, and Applications in Optimization

This paper provides a thorough examination of Genetic Algorithms (GAs), a category of evolutionary computation methods derived from the concepts of natural...

article image
Computer Modeling in Engineering & Sciences
REVIEW

A Review on Emerging Unified Information–Physics Frameworks for Structural Design: Toward Topology Optimization Informatics

Topology optimization (TO) has become a core computational paradigm for structural design by defining optimality through physics-based objectives and...

article image
Energy Engineering
ARTICLE

Data-Driven and Physics-Informed Surrogate Modeling for Heat Conduction in the Pressurizer Wall of Pressurized Water Reactors under Severe Accident Scenarios

Real-time prediction of temperature distribution in the pressurizer walls of Pressurized Water Reactors (PWRs) during severe accidents, such as Station...

article image
Energy Engineering
ARTICLE

Hydraulic Fracture Conductivity Loss Mechanisms for Unconsolidated Sands Considering Fine Migrations and Proppant Embedments

To investigate the mechanism governing the continuous decline in fracture conductivity of unconsolidated sandstone reservoirs post-hydraulic fracturing,...

article image
Energy Engineering
ARTICLE

Assessment of Carbon Reduction Potential Driven by High Energy Consumption Enterprises’ Electricity Usage Behavior

Addressing global climate challenges necessitates urgent low carbon transitions in high energy consuming enterprises (HECEs). This study proposes a comprehensive...

article image
Oncology Research
REVIEW

The Role of Immunotherapy in Resectable Non-Small Cell Lung Cancer

The advent of immune checkpoint inhibitors (ICIs) targeting PD-1, PD-L1, and CTLA-4 has transformed the therapeutic landscape of advanced non-small cell...

article image
Oncology Research
REVIEW

AI-Guided Discovery of Oncogenic Signaling Crosstalk in Tumor Progression and Drug Resistance

The rapid growth and accessibility of artificial intelligence (AI) and machine learning (ML) have opened many avenues to revolutionize biomedical research,...

article image
Oncology Research
REVIEW

Therapeutic Targets for Overcoming BCR::ABL1 Tyrosine Kinase Inhibitor Resistance in Chronic Myeloid Leukemia

Chronic myeloid leukemia (CML) is a hematopoietic malignancy originating from hematopoietic stem cells. It is characterized by the Philadelphia chromosome,...

article image
Oncology Research
REVIEW

Current Advances in Preclinical Patient-Derived Cultivation Models for Individualized Drug Response Prediction in Pancreatic Cancer

Pancreatic ductal adenocarcinoma (PDAC) is currently the third leading cancer-related cause of death worldwide and is forecasted to become the second...

article image
Computers, Materials & Continua
REVIEW

Multiscale Numerical Simulation of Dynamic Damage and Fracture in Metallic Materials: A Review

This paper provides a comprehensive review of recent advances in multi-scale modeling for simulating dynamic damage and fracture in metallic materials,...

article image
Computers, Materials & Continua
REVIEW

Task Offloading and Edge Computing in IoT—Gaps, Challenges and Future Directions

This review examines current approaches to real-time decision-making and task optimization in Internet of Things systems through the application of machine...

article image
Computers, Materials & Continua
REVIEW

3D Single Object Tracking in Point Clouds: A Review

3D single object tracking (SOT) based on point clouds is a fundamental task for environmental perception in autonomous driving and dynamic scene understanding...

article image
Computers, Materials & Continua
REVIEW

Applications of Machine Learning in Polymer Materials: Property Prediction, Material Design, and Systematic Processes

This paper reviews the research progress and application prospects of machine learning technologies in the field of polymer materials. Currently, machine...

article image
Computers, Materials & Continua
ARTICLE

Machine Learning-Enhanced Multiscale Computational Framework for Optimizing Thermoelectric Performance in Nanostructured Materials

The direct conversion of solid-state heat to electricity using thermoelectric materials has attracted attention; however, their effective application...

article image
Computers, Materials & Continua
ARTICLE

Robust Facial Landmark Detection via Transformer-Conv Attention

In facial landmark detection, shape deviations induced by large poses and exaggerated expressions often prevent existing algorithms from simultaneously...

article image
Oncology Research
Special Issue

Advances in the Discovery and Development of Novel Anticancer Compounds

The rapid evolution of chemical biology, medicinal chemistry, and molecular pharmacology continues to drive the discovery of innovative anticancer compounds...

article image
Oncology Research
Special Issue

Epigenetics and Epitranscriptomics in Cancer Biology and Therapy

Cancer development and therapeutic response are governed not only by genetic alterations but also by dynamic regulatory mechanisms at the epigenetic and...

article image
Energy Engineering
Special Issue

Model-based and Learning Methods for Optimization and Management of Energy Flows in Decentralized Smart Grids

The transition toward decentralized smart grids is reshaping the way energy is generated, exchanged, controlled, and consumed. The increasing penetration...

article image
BIOCELL
Special Issue

Epigenetic and ncRNA Biomarkers in Cancer: Diagnostic and Prognostic Value

Cancer remains one of the leading causes of morbidity and mortality worldwide, and its onset and progression are closely linked to dysregulated epigenetic...

article image
Journal of Polymer Materials
Special Issue

Innovative Smart Polymeric Materials for Sustainable Energy Solutions: Bridging Advances in Energy and Biomedical Applications

We propose a special issue titled "Innovative Smart Polymeric Materials for Sustainable Energy Solutions: Bridging Advances in Energy and Biomedical...

article image
Fluid Dynamics & Materials Processing
Special Issue

Fluid and Thermal Dynamics in the Development of Unconventional Resources III

Further advancements in the exploitation of unconventional resources, such as tight gas, shale gas, shale oil, coalbed methane, and natural gas hydrate,...

article image
Computer Modeling in Engineering & Sciences
Special Issue

Machine Learning and Deep Learning-Based Pattern Recognition

In today’s digital era, patterns are omnipresent, shaping many aspects of our lives. These patterns can be physically observed or computationally identified...

article image
Computer Modeling in Engineering & Sciences
Special Issue

Next-Generation Intelligent Networks and Systems: Advances in IoT, Edge Computing, and Secure Cyber-Physical Applications

The rapid evolution of next-generation intelligent networks and cyber-physical systems has transformed industries by enabling seamless connectivity, real-time...

Latest Articles
Computer Modeling in Engineering & Sciences
Article

Accurate Compressive Strength Prediction of Fly Ash Geopolymers Using Advanced Ensemble Models and Morris Analysis

The construction industry’s substantial carbon footprint, primarily attributed to the production of Ordinary Portland Cement, necessitates a transition toward more sustainable alternatives. Geopolymer concrete (GPC), an innovative binder synthesized from industrial by-products like fly ash (FA), offers a promising low-carbon solution but is hindered by performance variability and a lack of standardized design protocols. This research addresses this critical barrier by developing robust predictive models for the compressive strength of FA-based GPC. Six machine learning…

Computer Modeling in Engineering & Sciences
Article

From Local Large-Scale Health Signal Inflation to Stochastic Stationarity: A Multiple-Component Risk Recalibration Framework via Intelligent Difference-in-Differences Decomposition

Geospatial health risk signals, characterized by associations with high magnitude statistical significance, may frequently originate from circumscribed observational data streams. When these signals are fueled by massive N-size datasets, the large dimensional scale of the sample can induce a misleading interpretation of local evidence as a statistically significant risk inflation. The objective of this study is to verify whether such health risk configurations constitute geospatial structural artifacts: namely, stochastic distortions generated by the spatial information…

Computer Modeling in Engineering & Sciences
Article

Performance Analysis of an AI-Based IDS xApp for Cyberattack Anomaly Detection in O-RAN Near-RT RIC

The introduction of the Open Radio Access Network (O-RAN) architecture enhances network flexibility but introduces novel security threats targeting open interfaces and the RAN Intelligent Controller (RIC). Particularly in the Near-RT RIC environment, an effective Intrusion Detection System (IDS) that satisfies strict near-real-time constraints of within 1 s is essential to defend against cyber attacks. This paper proposes an Artificial Intelligence (AI)-based IDS xApp designed for real-time cyber attack monitoring in the O-RAN Near-RT RIC…

Computer Modeling in Engineering & Sciences
Article

Interpretable Deep Learning Framework for Predicting Compressive Strength of Steel Fiber Reinforced Geopolymer Concrete

Geopolymer concrete has attracted increasing attention as a lower-carbon alternative to ordinary Portland cement concrete because it can utilize aluminosilicate-rich industrial by-products while still achieving satisfactory mechanical performance. However, the 28-day compressive strength of steel fiber-reinforced geopolymer concrete (SFGPC) is governed by multiple interacting mixture variables, which makes reliable prediction difficult, especially for medium-sized experimental datasets. This study developed an interpretable deep-learning framework to predict the 28-day compressive strength (CS28) of SFGPC using an original…

Computer Modeling in Engineering & Sciences
Article

A Computational Multi-Output Soft Sensing Framework for Sinter Quality Prediction Using Feature Selection and Hierarchical SVR Optimization

Sinter quality prediction in iron ore sintering is a challenging computational modeling problem because of highly nonlinear process behavior, strong cross-variable interactions, and disturbances caused by changing operating conditions. This study develops a data-driven multi-index soft-sensing framework for sinter quality prediction by combining feature selection and hierarchical model optimization. An improved binary Greylag Goose Optimization algorithm is first employed to identify a compact subset of informative variables, reducing redundancy and multicollinearity in the original process…

Computer Modeling in Engineering & Sciences
Article

Deep Learning-Assisted Modelling of Electro-Osmotic Flow in Thin Film Sutterby Hybrid Nanofluid over a Porous Inclined Sheet

This study examines the variable thermal conductivity and electroosmotic performance of Sutterby hybrid nanofluid (SBHNF) thin film flow over a stretched inclined sheet using an artificial neural network (ANN)-based on NARX (Multilayer Nonlinear Autoregressive Networks with Exogenous Inputs) multiple-layer backpropagation simulation with the Levenberg-Marquardt algorithm (LMA). AA7075 and AA7072 nanoparticles suspended in sodium alginate (SA) base fluid make up the hybrid nanofluid (HNF), which was selected due to its improved heat transfer properties and superior…

Computer Modeling in Engineering & Sciences
Article

Low-Velocity Impact Response of Hybrid Fiber Reinforced Composite Thin-Walled Structures

Hybrid fiber reinforced plastic (HFRP) composites, especially intra-layer carbon/glass hybrids, offer a promising balance of specific strength, impact resistance, and cost efficiency for thin-walled energy-absorbing structures. This study investigates the low-velocity impact response and energy absorption of intra-layer carbon/glass hybrid hat-shaped beams. Tensile and impact tests evaluated the effects of hybrid ratio and fiber orientation. A multiscale damage model based on micromechanical damage and failure criteria was established via Abaqus/VUMAT, integrating stress amplification factors to…

Computer Modeling in Engineering & Sciences
Article

A Generative Residual Enhanced Neural Operator Based on the Boundary Element Method for Accurate Metasurface Parameter Analysis

Metasurface design often requires solving field distributions across varying structural parameters and frequencies, where neural operators offer a promising avenue for fast prediction. However, conventional neural operators have problems with degradation of the accuracy in multi-scale structural analysis. In this work, we propose a Generative Residual Enhanced Neural Operator (GRE-NO) framework that introduces a generative residual network to model the systematic bias of the main predictor. The core model retains the DeepONet architecture with both…

Computer Modeling in Engineering & Sciences
Article

Monitoring of Drill-and-Blast Workflows at the Tunnel Face Using Computer Vision and Context Reasoning

Computer vision has been widely adopted in intelligent construction monitoring; however, existing studies primarily focus on identifying individual construction elements or isolated activities, with limited capability for integrated monitoring of complete construction workflows. Such workflow-level automation is a prerequisite for intelligent construction and unmanned job sites. To address the challenge of reliable visual recognition in drill-and-blast tunnel environments characterized by uneven illumination, localized glare, and dust interference, this study proposes a methodological framework for construction…

Computer Modeling in Engineering & Sciences
Article

Numerical Optimization of Internal Cooling Structure Placement for MHD Mixed Convection Using Multi-Nanoparticle Fluids

This study conducts a comprehensive numerical investigation of magnetohydrodynamic (MHD) mixed convection and entropy generation in a two-dimensional square cavity filled with a ternary hybrid nanofluid. The working fluid consists of Multi-Walled Carbon Nanotubes (MWCNT), Copper (Cu), and Ferric Oxide (Fe3O4) nanoparticles dispersed in water, selected for their superior thermal properties. Two vertically aligned, saw-tooth-shaped cooling structures are embedded along the left and right walls of the cavity, with four distinct configurations considered based on their…

Computer Modeling in Engineering & Sciences
Article

Williamson Nanofluid Flow and Transport in an Asymmetric Porous Tapered Channel under Multiple Slip Conditions Using Perturbation and Supervised Machine Learning Models

The current study comprehensively investigates Williamson nanofluid flow and transport in an asymmetric porous tapered channel under varying slip conditions, using both analytical and supervised machine learning approaches. This mathematical model integrates thermophoresis, Brownian motion, the Soret and Dufour effects, thermal radiation, and a transverse magnetic field to accurately describe thermosoluble transport phenomena relevant to biomedical contexts. The non-Newtonian Williamson formulation is used to explain how fluids, such as blood, dilute when sheared. Darcy resistance…

Computer Modeling in Engineering & Sciences
Article

Critical Patient Image Data Acquisition Strategy by Exploiting Edge Intelligence and Dynamic-Static Synergy in Smart Healthcare

In smart healthcare systems, Image data of critical patients is essential in controlling and diagnosing the disease development. To acquire the medical images, traditional methods encountered the difficulty of generating cost-effective data. This research work introduces a novel and innovative approach to collect high-quality image data from individuals with atypical clinical presentations. Initially, a new Internet of Medical Things (IoMT) image collection architecture is introduced. This design uses edge intelligence and motion-static synergy to make…

Computer Modeling in Engineering & Sciences
Review

From Documents to Decisions: Enterprise-Grade LLM Systems for Zero-Hallucination, Attributed Generation, and Regulatory Alignment

As large language models (LLMs) become increasingly integrated into enterprise decision-making processes, structural pressures such as version drift, cross-source evidence integration, and regulatory accountability have shifted the primary challenge from isolated generative performance to system-level consistency, traceability, and governability. This paper systematically reviews key technological developments relevant to enterprise requirements, including document perception, retrieval-augmented generation (RAG), hybrid RAG-KG architectures, fine-grained attribution evaluation, and multi-agent coordination. The analysis demonstrates that the main obstacle to enterprise LLM…

Computer Modeling in Engineering & Sciences
Article

GreenShield: A Lightweight and Robust Vision Transformer Framework in Retinal Disease Classification

Vision Transformers (ViTs) have recently achieved high performance in retinal Optical Coherence Tomography (OCT) classification studies. However, ViT models continue to face significant challenges, including high computational cost, vulnerability to adversarial attacks, and pronounced sensitivity to preprocessing techniques. This study introduces GreenShield, a unified framework designed to produce an efficient and robust ViT model, referred to as GreenShield-ViT, which outperforms existing lightweight ViT variants in terms of adversarial robustness for retinal OCT classification. The framework…

Computer Modeling in Engineering & Sciences
Article

MambaFNO-NET: A Dual-Domain Framework Integrating State Space Models and Fourier Neural Operators for Brain Tumor Segmentation

Magnetic resonance imaging (MRI) is widely utilized for brain tumor segmentation, yet significant challenges persist due to intensity variations, irregular boundaries, and substantial morphological heterogeneity. Current state-of-the-art deep learning methods often struggle to capture long-range spatial dependencies, delineate fine boundary details, and efficiently process 3D volumetric data. This study introduces a novel hybrid framework that integrates state-space models with frequency-domain learning to address these limitations. The proposed model offers four primary contributions: (1) incorporation of…

Computer Modeling in Engineering & Sciences
Article

A Stochastic Ensemble Physics-Informed Neural Networks via Bagging and Monte Carlo Dropout

Solving differential equations (DEs), including ordinary differential equations (ODEs) and partial differential equations (PDEs), is fundamental to scientific computing and engineering. The development of deep learning has led to Physics-Informed Neural Networks (PINNs), in which physical laws are embedded directly into the loss function. However, PINNs inherit the intrinsic instability of deep neural networks (DNNs) and lack an effective mechanism for Uncertainty Quantification (UQ). This paper proposes a stochastic ensemble framework to address these limitations.…

Call for papers
Special Issue
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Computer Modeling in Engineering & Sciences

Artificial Intelligence-Driven Forecasting...

Guest Editors: Carlos Vargas-Salgado; Dácil Diaz-Bello Deadline: 30 April 2027

Special Issue
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Computer Modeling in Engineering & Sciences

Machine Learning and Deep Learning-Based...

Guest Editors: Jungpil Shin; Yong Seok Hwang Deadline: 31 January 2027

Special Issue
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Oncology Research

Extracellular Vesicles (EVs) in Cancer...

Guest Editors: Qi Chen; Yunhui Tang Deadline: 31 December 2026

Special Issue
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Computers, Materials & Continua

Deep Learning for Object Detection and...

Guest Editors: Víctor García Deadline: 31 December 2026

Special Issue
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Journal of Polymer Materials

Polymer-based Functional Composite Materials:...

Guest Editors: Dawei Jiang; Miaojun Xu; Bo Jiang; Zijian Wu Deadline: 31 December 2026

Special Issue
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International Journal of Mental Health...

Promoting Mental Health and Cognitive...

Guest Editors: Jian-Hong Ye; Weiguaju Nong Deadline: 31 December 2026

Special Issue
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Journal of Polymer Materials

From Bioelectronics to Robotics: Functional...

Guest Editors: Changhong LINGHU; Hoon Eui Jeong; Ying Jiang; Jiangtao Su; Yangchengyi... Deadline: 30 December 2026

Special Issue
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Oncology Research

Therapeutic Targeting of Tumor Metabolism

Guest Editors: Fátima Martel Deadline: 30 November 2026

Special Issue
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Computer Modeling in Engineering & Sciences

Advanced Artificial Intelligence and...

Guest Editors: Wei-Chiang Hong; Yi Liang; Ming-Wei Li; Zhong-Yi Yang Deadline: 30 November 2026

Special Issue
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Journal of Polymer Materials

Biodegradable or Superabsorbent Polymers:...

Guest Editors: Yahya Bachra Deadline: 30 November 2026

Special Issue
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Journal of Polymer Materials

Polymer Nanomaterials: Biosynthesis...

Guest Editors: Syed Mahmood; Pornanong Aramwit Deadline: 30 November 2026

Special Issue
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Phyton-International Journal of Experimental...

Advances in Genomics and Molecular Breeding...

Guest Editors: Emilio Cervantes Deadline: 31 October 2026

Special Issue
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Oncology Research

Exploring Cancer Biology through the...

Guest Editors: Maria Letizia Motti; Immacolata Belviso Deadline: 31 October 2026

Special Issue
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Computers, Materials & Continua

Vision, LiDAR, and Sensor Fusion-Based...

Guest Editors: Batyrkhan Omarov; Daniyar Sultan; Bakhytzhan Kulambayev Deadline: 30 October 2026

Special Issue
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Computers, Materials & Continua

Machine Learning for Robotics: Algorithms,...

Guest Editors: Daniel-Ioan Curiac; Dan Pescaru Deadline: 15 October 2026

Special Issue
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Computers, Materials & Continua

AI-Driven Image Processing and Pattern...

Guest Editors: Barmak Honarvar Shakibaei Asli Deadline: 01 October 2026

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