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European Cytokine Network
REVIEW

Emerging viral infections: role of flavivirus NS1-mediated rewiring of PRR signaling

Flaviviruses, including Dengue, West Nile, Zika, and Japanese encephalitis viruses, are arthropod-borne RNA viruses that pose an increasing global health...

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European Cytokine Network
REVIEW

Targeting the cytokine-epigenetic axis: a new paradigm and prospects for disease treatment

Cytokines, as key signaling molecules, are involved in the regulation of physiological and pathological processes such as inflammation, immunity, and...

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European Cytokine Network
REVIEW

Xenosialylation as immunological chimerism: a host-centered unifying model for viral and post-vaccination immune complications

Severe immune-mediated complications following viral infections and vaccinations, including COVID-19 and anti–SARS-CoV-2 immunization, display remarkable...

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Computer Modeling in Engineering & Sciences
ARTICLE

Frequency-Selective Transmission Control of Ultrasonic Guided Waves in T-Shaped Pipes Using Acoustic Metamaterials: Computer Modeling and Experimental Validation

Structural health monitoring (SHM) of ship piping systems is a core component of predictive maintenance strategies for complex marine engineering systems....

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Computer Modeling in Engineering & Sciences
ARTICLE

Bearing Fault Diagnosis with Hybrid CNN-RNN: A Unified-Loop Hyperparameter Optimization Framework via Surrogate-Based Bayesian Optimization

In bearing fault diagnosis for Prognostics and Health Management (PHM), the overall performance of data-driven models is strongly influenced by the coupled...

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Computer Modeling in Engineering & Sciences
ARTICLE

Enhanced-WOA Optimized FOPID Controller for Energy-Efficient Path-Tracking Robot

In industrial and service robotics, autonomous mobile robots must achieve accurate trajectory tracking while maintaining low energy consumption to avoid...

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BIOCELL
ARTICLE

Organ-Specific Metabolic Adaptations to Acute Injury and Their Modulation by Fumarate

Objectives: Metabolic substrate deficiency is a key factor in many pathologies, with organ vulnerability depending on specialized metabolic profiles....

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BIOCELL
REVIEW

Cellular Senescence in the Cardiovascular System: Molecular Mechanisms, Pathophysiology, and Senotherapeutic Interventions

Cellular senescence and the Senescence-Associated Secretory Phenotype (SASP) play both physiological and pathological roles in the cardiovascular system....

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BIOCELL
REVIEW

Decoding Enterovirus 71: Molecular Functions of Structural and Nonstructural Proteins in Viral Replication and Host Manipulation

Enterovirus 71 (EV71), a member of the family Picornaviridae, genus Enterovirus, is an agent of hand, foot, and mouth disease (HFMD) and remains a persistent...

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Energy Engineering
ARTICLE

Parametric Optimization of Battery Capacity and Electric Motor Power for Electric Vehicles under Varying Loads and Capacities

Nowadays, battery electric vehicles are increasingly used, from passenger cars to heavy-duty commercial vehicles, trains, and ships, all in an effort...

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Energy Engineering
REVIEW

Next-Generation Wind Hybrid Energy Systems: Grid-Interactive, Hydrogen-Enabled, and AI-Orchestrated Pathways for Sustainable Electrification

The big challenge in developing wind energy over the past century, which has focused on environmentally friendly production methods to meet the requirements...

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Energy Engineering
ARTICLE

Intelligent Operation Strategies for PVT-ASHP Heating and Hot Water Systems in Industrial Parks Based on Reinforcement Learning

In response to the high energy consumption, large load fluctuations, and insufficient adaptability associated with conventional control strategies in...

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Oncology Research
REVIEW

Emerging Approaches in Breast Cancer: From Molecular Mechanisms to Diagnosis and Therapeutic Strategies

Breast cancer (BC) is the most frequently diagnosed malignancy in women worldwide and remains one of the leading causes of cancer-related mortality, with...

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Oncology Research
REVIEW

Prognostic Value of Spatial and Topological Features of Tumor Microenvironment in Classic Hodgkin Lymphoma

Classic Hodgkin lymphoma (CHL) constitutes a B-cell malignant lymphoid neoplasm derived from the germinal center. Despite current treatment protocols...

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Oncology Research
REVIEW

Engineering the Future of ADCs in Non-Small Cell Lung Cancer

Antibody–drug conjugates (ADCs) are a promising strategy in non-small cell lung cancer (NSCLC), but early-generation drugs were limited by suboptimal...

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Oncology Research
REVIEW

Clostridiaceae in Cancer Management

Unfavorable epidemiological forecasts indicating a significant increase in cancer incidence and mortality, as well as limitations of traditional cancer...

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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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Oncology Research
Special Issue

Targeting the Tumor Microenvironment: Emerging Insights into Cancer Progression and Therapeutics

The tumor microenvironment (TME) plays a crucial role in cancer progression, metastasis, and resistance to therapy, prompting a shift in focus from targeting...

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Oncology Research
Special Issue

Tumor Biomarkers for Diagnosis, Prognosis and Targeted Therapy

Tumor biomarkers have become an essential foundation for advancements in cancer diagnosis, prognosis, and targeted therapy. As oncology moves towards...

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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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Computer Modeling in Engineering & Sciences
Special Issue

Machine learning and Blockchain for AIoT: Robustness, Privacy, Trust and Security

Artificial Intelligence of Things (AIoT) is considered a collaborative application of artificial intelligence (AI) and the Internet of Things (IoT). The...

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European Cytokine Network
REVIEW

Emerging viral infections: role of flavivirus NS1-mediated rewiring of PRR signaling

Flaviviruses, including Dengue, West Nile, Zika, and Japanese encephalitis viruses, are arthropod-borne RNA viruses that pose an increasing global health...

article image
European Cytokine Network
REVIEW

Targeting the cytokine-epigenetic axis: a new paradigm and prospects for disease treatment

Cytokines, as key signaling molecules, are involved in the regulation of physiological and pathological processes such as inflammation, immunity, and...

article image
European Cytokine Network
REVIEW

Xenosialylation as immunological chimerism: a host-centered unifying model for viral and post-vaccination immune complications

Severe immune-mediated complications following viral infections and vaccinations, including COVID-19 and anti–SARS-CoV-2 immunization, display remarkable...

article image
Computer Modeling in Engineering & Sciences
ARTICLE

Frequency-Selective Transmission Control of Ultrasonic Guided Waves in T-Shaped Pipes Using Acoustic Metamaterials: Computer Modeling and Experimental Validation

Structural health monitoring (SHM) of ship piping systems is a core component of predictive maintenance strategies for complex marine engineering systems....

article image
Computer Modeling in Engineering & Sciences
ARTICLE

Bearing Fault Diagnosis with Hybrid CNN-RNN: A Unified-Loop Hyperparameter Optimization Framework via Surrogate-Based Bayesian Optimization

In bearing fault diagnosis for Prognostics and Health Management (PHM), the overall performance of data-driven models is strongly influenced by the coupled...

article image
Computer Modeling in Engineering & Sciences
ARTICLE

Enhanced-WOA Optimized FOPID Controller for Energy-Efficient Path-Tracking Robot

In industrial and service robotics, autonomous mobile robots must achieve accurate trajectory tracking while maintaining low energy consumption to avoid...

article image
BIOCELL
ARTICLE

Organ-Specific Metabolic Adaptations to Acute Injury and Their Modulation by Fumarate

Objectives: Metabolic substrate deficiency is a key factor in many pathologies, with organ vulnerability depending on specialized metabolic profiles....

article image
BIOCELL
REVIEW

Cellular Senescence in the Cardiovascular System: Molecular Mechanisms, Pathophysiology, and Senotherapeutic Interventions

Cellular senescence and the Senescence-Associated Secretory Phenotype (SASP) play both physiological and pathological roles in the cardiovascular system....

article image
BIOCELL
REVIEW

Decoding Enterovirus 71: Molecular Functions of Structural and Nonstructural Proteins in Viral Replication and Host Manipulation

Enterovirus 71 (EV71), a member of the family Picornaviridae, genus Enterovirus, is an agent of hand, foot, and mouth disease (HFMD) and remains a persistent...

article image
Energy Engineering
ARTICLE

Parametric Optimization of Battery Capacity and Electric Motor Power for Electric Vehicles under Varying Loads and Capacities

Nowadays, battery electric vehicles are increasingly used, from passenger cars to heavy-duty commercial vehicles, trains, and ships, all in an effort...

article image
Energy Engineering
REVIEW

Next-Generation Wind Hybrid Energy Systems: Grid-Interactive, Hydrogen-Enabled, and AI-Orchestrated Pathways for Sustainable Electrification

The big challenge in developing wind energy over the past century, which has focused on environmentally friendly production methods to meet the requirements...

article image
Energy Engineering
ARTICLE

Intelligent Operation Strategies for PVT-ASHP Heating and Hot Water Systems in Industrial Parks Based on Reinforcement Learning

In response to the high energy consumption, large load fluctuations, and insufficient adaptability associated with conventional control strategies in...

article image
Oncology Research
REVIEW

Emerging Approaches in Breast Cancer: From Molecular Mechanisms to Diagnosis and Therapeutic Strategies

Breast cancer (BC) is the most frequently diagnosed malignancy in women worldwide and remains one of the leading causes of cancer-related mortality, with...

article image
Oncology Research
REVIEW

Prognostic Value of Spatial and Topological Features of Tumor Microenvironment in Classic Hodgkin Lymphoma

Classic Hodgkin lymphoma (CHL) constitutes a B-cell malignant lymphoid neoplasm derived from the germinal center. Despite current treatment protocols...

article image
Oncology Research
REVIEW

Engineering the Future of ADCs in Non-Small Cell Lung Cancer

Antibody–drug conjugates (ADCs) are a promising strategy in non-small cell lung cancer (NSCLC), but early-generation drugs were limited by suboptimal...

article image
Oncology Research
REVIEW

Clostridiaceae in Cancer Management

Unfavorable epidemiological forecasts indicating a significant increase in cancer incidence and mortality, as well as limitations of traditional cancer...

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
Oncology Research
Special Issue

Targeting the Tumor Microenvironment: Emerging Insights into Cancer Progression and Therapeutics

The tumor microenvironment (TME) plays a crucial role in cancer progression, metastasis, and resistance to therapy, prompting a shift in focus from targeting...

article image
Oncology Research
Special Issue

Tumor Biomarkers for Diagnosis, Prognosis and Targeted Therapy

Tumor biomarkers have become an essential foundation for advancements in cancer diagnosis, prognosis, and targeted therapy. As oncology moves towards...

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
Computer Modeling in Engineering & Sciences
Special Issue

Machine learning and Blockchain for AIoT: Robustness, Privacy, Trust and Security

Artificial Intelligence of Things (AIoT) is considered a collaborative application of artificial intelligence (AI) and the Internet of Things (IoT). The...

Latest Articles
Computers, Materials & Continua
Article

pFedUL: Layer-Aware Federated Unlearning for Personalized Federated Learning

Federated unlearning (FU) enables the removal of specific data contributions from federated learning (FL) models to comply with regulations such as the General Data Protection Regulation (GDPR). However, most existing FU methods are designed for the FedAvg paradigm, where all clients share a single global model. In practice, personalized federated learning (pFL) methods such as FedPer, FedRep, Ditto, and FedBN have become widely adopted due to their superior handling of non-IID data. These methods decompose…

Computers, Materials & Continua
Article

An AI-Driven and Risk-Aware Digital Identity Protection Framework for Secure IoMT Environments

With the rapid expansion of the Internet of Medical Things (IoMT), the importance of digital identity–based security has significantly increased. However, conventional static authentication mechanisms are insufficient to effectively address various identity misuse and abuse attacks. In this study, we model digital identity as a dynamic security entity and propose an AI-based framework that integrates a risk scoring model—combining unsupervised anomaly detection with context-aware analysis—and a multi-level risk-adaptive access control mechanism (Permit, Step-Up, Restrict). Experimental…

Computers, Materials & Continua
Article

An Edge-Assisted Internet-of-Vehicles Computing Framework for Fair Tail-Risk Allocation in Cooperative Autonomous Driving

Connected automated driving increasingly relies on cooperative perception from onboard sensors, roadside units (RSUs), smart traffic lights, and vehicle-to-everything (V2X) links, but communication uncertainty can concentrate residual risk on vulnerable road users (VRUs). This study proposes an Ethical-Improved risk-allocation objective for edge-assisted Internet of Vehicles (IoV) cooperative autonomous driving. The objective internalizes responsibility as a bounded risk weight, normalizes equality and maximin terms, and adds explicit VRU tail-risk and VRU/Ego ratio penalties. The evaluation is…

Computers, Materials & Continua
Article

Hyperparameter Optimisation and Comparative Analysis of Machine Learning Models for Travel Mode Choice Prediction

Understanding the determinants of travel mode choice (TMC) in urban contexts is essential for effective transport planning and policy development. Past studies predominantly employed traditional discrete choice models because of their simplicity, diversity, and high interpretability; however, they rely on restrictive assumptions. Although machine learning (ML) techniques have shown promising predictive capabilities, comparative assessments of traditional and ML approaches, particularly considering hyperparameter optimisation, remain limited. This study addresses this gap by comparing a traditional model…

Computers, Materials & Continua
Review

Topological Materials and Machine Learning: A Comprehensive Review

The unique topological properties of the electronic band structures in topological materials have increasingly attracted attention in both fundamental research and next-generation technological applications. With the rise of machine learning, the connection between topological materials and machine learning has deepened significantly. This review systematically summarizes the interaction between these two fields, tracing the history of their mutual promotion and synergistic development. We further examine the transformative impact of machine learning across multiple domains of topological…

Computers, Materials & Continua
Article

YOLO-PBE: An Improved YOLOv11 Vehicle Detection Algorithm for Complex Traffic Scenes

Addressing the two critical challenges of missed detection of distant small targets and difficulty in identifying occluded targets under complex road conditions, this paper proposes YOLO-PBE, an improved high-precision vehicle detection model based on YOLOv11n. First, to tackle the fine-grained feature loss caused by conventional strided convolutions during downsampling, we add a high-resolution P2 detection layer and introduce SPD-Conv, a lossless spatial-to-depth feature transformation technique, for feature extraction. By preserving complete pixel-level information, the model's…

Computers, Materials & Continua
Article

Quantized Intrusion Detection for Resource-Constrained IoT: A Comparative Evaluation of Efficiency and Adversarial Robustness

The proliferation of Internet of Things (IoT) devices has introduced unprecedented security challenges, necessitating efficient intrusion detection systems (IDS) capable of operating under severe resource constraints. This research presents a hardware-informed empirical study of quantized neural-network-based intrusion detection for resource-constrained IoT platforms, using an ARM Cortex-M4 deployment target as a reference. We evaluate FP32, FP16, and INT8 TensorFlow Lite model variants derived from a lightweight 1D-CNN and assess their trade-offs in clean-data accuracy, model size,…

Computers, Materials & Continua
Article

STHarDNet: A Statistically Validated Swin Transformer–HarDNet Framework for High-Precision Plant Disease Detection and Classification

Plants are fundamental to global food security; however, plant diseases significantly reduce agricultural productivity, making early and accurate detection essential. Traditional inspection approaches rely heavily on manual observation, which is labor-intensive, subjective, difficult to scale, and susceptible to human error. In contrast, artificial intelligence (AI) combined with computer vision (CV) offers an effective solution for early-stage disease detection, minimizing yield losses while overcoming the limitations of manual monitoring systems. In this study, a novel deep…

Computers, Materials & Continua
Article

Predictive-Q Learning Based Interference-and-Mobility Aware Dual-Path Routing for UAV Swarm Networks with Mobile Edge Computing

High-mobility Unmanned Aerial Vehicle (UAV) swarm networks suffer from fast-varying connectivity and interference, and therefore routing decisions must jointly account for link instability and topology changes. By leveraging mobile edge computing (MEC) capabilities, each UAV can perform online routing decisions locally without relying on centralized controllers. This paper develops a Predictive-Q learning framework for dynamic routing under interference and mobility, where the Q-value is trained by a multi-factor reward that explicitly models retransmission costs, predicts…

Computers, Materials & Continua
Article

Cryptocurrency Market Trends: A Machine Learning-Driven Time Series Forecasting with Twitter Sentiment Integration

Accurate forecasting of cryptocurrency prices remains an open challenge because classical statistical models cannot capture the non-linear, sentiment-driven dynamics of these markets. This study compares three hybrid deep learning architectures—VAR-LSTM, XGBoost-LSTM, and CNN-LSTM—to determine which best forecasts Bitcoin (BTC), Ethereum (ETH), and Dogecoin (DOGE) closing prices, and to quantify the marginal predictive value of Twitter sentiment integration. Six years of hourly OHLCV data (2017–2023) are augmented with VADER-scored Twitter sentiment polarity. Each model is formulated…

Computers, Materials & Continua
Article

Edge-Optimized Automatic Number Plate Recognition for IoT-Based Smart Parking Using YOLOv8

Automatic Number Plate Recognition (ANPR) is widely used in Intelligent Transportation Systems (ITS) and smart parking applications, but running deep learning-based ANPR directly on low-power edge devices remains difficult because of computation time, memory, and latency limitations. In this study, we develop an edge-oriented ANPR pipeline for an Internet of Things (IoT)-based sensor-triggered stop-and-go smart parking platform, targeting deployment on a resource-constrained edge device. The pipeline combines YOLOv8 for license plate detection, PaddleOCR for text…

Computers, Materials & Continua
Article

LaRP-CLIP: Layer-Aware Refinement with Prototype Guidance for Zero-Shot Anomaly Detection

The deployment of supervised anomaly detection is typically limited by the high cost of annotation, privacy constraints, and the scarcity of anomalous samples. These constraints have motivated the use of vision-language pre-trained models for zero-shot anomaly detection. However, existing CLIP-based methods still face three limitations: a shared set of prompts is applied across feature layers, anomaly maps are fused by fixed strategies, and image-level anomaly scores are determined solely by global image-text similarity. These limitations…

Computers, Materials & Continua
Article

QIMIG: A Quantum-Inspired Evolutionary Framework for Software Library Migration

Automated library migration reduces refactoring costs but challenges traditional evolutionary algorithms, which often suffer from premature convergence and poor recall in sparse, complex API mapping spaces. To address this, we propose QIMIG, a multi-objective optimization framework integrating quantum-inspired encoding with quality-aware and greedy heuristic filtering. QIMIG utilizes a probabilistic Q-bit representation to maintain population diversity and avoid local optima. Simultaneously, its heuristic components leverage historical usage context to filter semantic noise and guide the search

Computers, Materials & Continua
Article

Data Mining and Uncertainty-Aware with Missing Modalities for Multimodal Sentiment Analysis

Multimodal Sentiment Analysis (MSA) integrates diverse modalities to identify emotional states, yet performance often suffers in scenarios with missing data. In this situation, despite the promising results of recent methods, the failure of part methods to fully exploit the latent valid information contained in incomplete modalities may degrade predictive performance. Besides, to address the oversight of varying contributions across modalities to sentiment understanding, the score-based weighting schemes in the exhibited methods remain overly sensitive to…

Computers, Materials & Continua
Article

A Multi-Modal Deep Learning Framework for Robust Polymorphic Malware Detection

Modern malware is increasingly employing polymorphism, packing, and metamorphism to evade traditional signature-based detection. Because of this, there is an urgency to have more reliable classification systems. Visual malware analysis, where binaries are converted into grayscale images, has demonstrated potential in revealing structural patterns of malware family classification. However, recent methods mostly rely on single-stream, lightweight Convolutional Neural Networks (CNNs). These models have a major blind spot. The visual representation textures can be heavily obscured…

Computers, Materials & Continua
Article

Structural Damage Diagnosis Based on Multi-Stage Sparrow Search Algorithm

This study proposes a Multi-Stage Sparrow Search Algorithm (MS-SSA) for precise structural damage identification. Initially, the structural static displacement sensitivity formulation is derived via the Sherman-Morrison-Woodbury formula, and an objective function is constructed by integrating the sensitivity equations with the L2-norm penalty. Subsequently, MS-SSA is implemented to sequentially achieve preliminary damage localization and accurate quantification. In the localization phase, a constrained narrow-bound search space is predefined to identify potential damage regions. Leveraging this feedback, the…

Call for papers
Special Issue
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Oncology Research

Tumor Biomarkers for Diagnosis, Prognosis...

Guest Editors: Hung-Yu Lin; Hsing-Ju Wu Deadline: 31 May 2027

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

The Next Decade of SPH: Integrating...

Guest Editors: Leonardo Di G. Sigalotti; Carlos A. Vargas; Carlos E. Alvarado-Rodríguez Deadline: 30 April 2027

Special Issue
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Oncology Research

Genome Organization and Cancer

Guest Editors: Sabrina Tosi; Annabelle Lewis Deadline: 30 April 2027

Special Issue
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European Cytokine Network

Pharmacological Modulation of Cytokine...

Guest Editors: Wenlong Sun; Mengyao Li Deadline: 31 March 2027

Special Issue
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Computer Modeling in Engineering & Sciences

Agentic AI: The New Orchestrators of...

Guest Editors: Wenbing Zhao; Pan Wang Deadline: 31 March 2027

Special Issue
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Computer Modeling in Engineering & Sciences

Emerging Artificial Intelligence Technologies...

Guest Editors: Wenfeng Zheng; Choon Kit Chan; Kyungtae Kang; Chao Liu Deadline: 31 March 2027

Special Issue
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Oncology Research

Targeted Therapies and Immunotherapies...

Guest Editors: Joanna Zawitkowska; Małgorzata Mitura-Lesiuk; Maciej Dubaj Deadline: 28 February 2027

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: 15 February 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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European Cytokine Network

Inflammation and Cytokine Biology in...

Guest Editors: Denise Mafra; Jessyca Sousa de Brito 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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European Cytokine Network

Cytokines in Cancer: Tumor Microenvironment,...

Guest Editors: Hung-Yu Lin Deadline: 31 December 2026

Special Issue
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Computers, Materials & Continua

Advances in Cybersecurity for Digital...

Guest Editors: Hoon Ko; Marek R. Ogiela 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

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