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Computer Modeling in Engineering & Sciences
REVIEW

Artificial Intelligence-Driven Vehicle Fault Diagnosis to Revolutionize Automotive Maintenance: A Review

Conventional fault diagnosis systems have constrained the automotive industry to damage vehicle maintenance and component longevity critically. Hence,...

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Computer Modeling in Engineering & Sciences
ARTICLE

Three-Dimensional Multiferroic Structures under Time-Harmonic Loading

Magneto-electro-elastic (MEE) materials are a specific class of advanced smart materials that simultaneously manifest the coupling behavior under electric,...

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Computer Modeling in Engineering & Sciences
REVIEW

An Investigation on Open-RAN Specifications: Use Cases, Security Threats, Requirements, Discussions

The emergence of various technologies such as terahertz communications, Reconfigurable Intelligent Surfaces (RIS), and AI-powered communication services...

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Computer Modeling in Engineering & Sciences
REVIEW

Unlocking the Potential: A Comprehensive Systematic Review of ChatGPT in Natural Language Processing Tasks

As Natural Language Processing (NLP) continues to advance, driven by the emergence of sophisticated large language models such as ChatGPT, there has been...

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Computers, Materials & Continua
REVIEW

Unsupervised Time Series Segmentation: A Survey on Recent Advances

Time series segmentation has attracted more interests in recent years, which aims to segment time series into different segments, each reflects a state...

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Computers, Materials & Continua
REVIEW

Deep Transfer Learning Techniques in Intrusion Detection System-Internet of Vehicles: A State-of-the-Art Review

The high performance of IoT technology in transportation networks has led to the increasing adoption of Internet of Vehicles (IoV) technology. The functional...

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Computers, Materials & Continua
REVIEW

Security and Privacy Challenges in SDN-Enabled IoT Systems: Causes, Proposed Solutions, and Future Directions

Software-Defined Networking (SDN) represents a significant paradigm shift in network architecture, separating network logic from the underlying forwarding...

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Computers, Materials & Continua
REVIEW

Evolution and Prospects of Foundation Models: From Large Language Models to Large Multimodal Models

Since the 1950s, when the Turing Test was introduced, there has been notable progress in machine language intelligence. Language modeling, crucial for...

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Computers, Materials & Continua
REVIEW

A Review of Image Steganography Based on Multiple Hashing Algorithm

Steganography is a technique for hiding secret messages while sending and receiving communications through a cover item. From ancient times to the present,...

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Computers, Materials & Continua
REVIEW

Randomization Strategies in Image Steganography Techniques: A Review

Image steganography is one of the prominent technologies in data hiding standards. Steganographic system performance mostly depends on the embedding strategy....

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Computers, Materials & Continua
REVIEW

AI-Driven Learning Management Systems: Modern Developments, Challenges and Future Trends during the Age of ChatGPT

COVID-19 pandemic restrictions limited all social activities to curtail the spread of the virus. The foremost and most prime sector among those affected...

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Computer Modeling in Engineering & Sciences
REVIEW

A Comprehensive Systematic Review: Advancements in Skin Cancer Classification and Segmentation Using the ISIC Dataset

The International Skin Imaging Collaboration (ISIC) datasets are pivotal resources for researchers in machine learning for medical image analysis, especially...

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Computer Modeling in Engineering & Sciences
REVIEW

A Comprehensive Survey on Federated Learning in the Healthcare Area: Concept and Applications

Federated learning is an innovative machine learning technique that deals with centralized data storage issues while maintaining privacy and security....

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Journal of Renewable Materials
REVIEW

Application of Plant-Based Coagulants and Their Mechanisms in Water Treatment: A Review

This review describes the mechanisms of natural coagulants. It provides a good understanding of the two key processes of coagulation-flocculation: adsorption...

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Journal of Renewable Materials
ARTICLE

Morphological Evolution of Self-Assembled Sodium Dodecyl Sulfate/Dodecyltrimethylammonium Bromide@Epoxy-β-Cyclodextrin Supramolecular Aggregates Induced by Temperature

Bio-based cyclodextrins (CDs) are a common research object in supramolecular chemistry. The special cavity structure of CDs can form supramolecular self-assemblies...

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Computer Modeling in Engineering & Sciences
ARTICLE

Highly Differentiated Target Detection under Extremely Low-Light Conditions Based on Improved YOLOX Model

This paper expounds upon a novel target detection methodology distinguished by its elevated discriminatory efficacy, specifically tailored for environments...

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Oncology Research
Special Issue

Transcriptome Analysis in Tumor Microenvironment and Tumor Heterogeneity

The tumor microenvironment encompasses not only the tumor cells themselves, but also the surrounding fibroblasts, immunological and inflammatory cells,...

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Computers, Materials & Continua
Special Issue

Machine Vision Detection and Intelligent Recognition

Machine vision detection and intelligent recognition are important research areas in computer vision with wide-ranging applications in manufacturing,...

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Computers, Materials & Continua
Special Issue

Deep Learning based Object Detection and Tracking in Videos

Object detection and tracking in videos has become an increasingly important area of research due to its potential applications in a variety of domains...

article image
Computer Modeling in Engineering & Sciences
Special Issue

Computer-Aided Uncertainty Modeling and Reliability Evaluation for Complex Engineering Structures

With the progress of science and technology, more and more complex engineering structures are serving in extreme environments. In the service life of...

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BIOCELL
Special Issue

Extracellular Vesicles and Cancer

Extracellular vesicles  (EVs) are phospholipid bilayer vesicles released from tumor and non-tumor cells for intercellular communication. EVs contain...

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Computer Modeling in Engineering & Sciences
Special Issue

Peridynamics and its Current Progress

The peridynamics proposed by Silling [1] is a non-local theory of solid mechanics. It redefines the problems by using integral equations rather than partial...

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Computer Modeling in Engineering & Sciences
Special Issue

Recent Developments on Computational Biology-I

In modern time, experts started to use interdisciplinary properties with the developing of technology and science. Thus, these disciplines provide more...

article image
Computer Modeling in Engineering & Sciences
Special Issue

Computer Modeling for Smart Cities Applications

More than half of the world population is living in cities. It requires extended infrastructure and various services to support the densely concentrated...

article image
Computer Modeling in Engineering & Sciences
REVIEW

Artificial Intelligence-Driven Vehicle Fault Diagnosis to Revolutionize Automotive Maintenance: A Review

Conventional fault diagnosis systems have constrained the automotive industry to damage vehicle maintenance and component longevity critically. Hence,...

article image
Computer Modeling in Engineering & Sciences
ARTICLE

Three-Dimensional Multiferroic Structures under Time-Harmonic Loading

Magneto-electro-elastic (MEE) materials are a specific class of advanced smart materials that simultaneously manifest the coupling behavior under electric,...

article image
Computer Modeling in Engineering & Sciences
REVIEW

An Investigation on Open-RAN Specifications: Use Cases, Security Threats, Requirements, Discussions

The emergence of various technologies such as terahertz communications, Reconfigurable Intelligent Surfaces (RIS), and AI-powered communication services...

article image
Computer Modeling in Engineering & Sciences
REVIEW

Unlocking the Potential: A Comprehensive Systematic Review of ChatGPT in Natural Language Processing Tasks

As Natural Language Processing (NLP) continues to advance, driven by the emergence of sophisticated large language models such as ChatGPT, there has been...

article image
Computers, Materials & Continua
REVIEW

Unsupervised Time Series Segmentation: A Survey on Recent Advances

Time series segmentation has attracted more interests in recent years, which aims to segment time series into different segments, each reflects a state...

article image
Computers, Materials & Continua
REVIEW

Deep Transfer Learning Techniques in Intrusion Detection System-Internet of Vehicles: A State-of-the-Art Review

The high performance of IoT technology in transportation networks has led to the increasing adoption of Internet of Vehicles (IoV) technology. The functional...

article image
Computers, Materials & Continua
REVIEW

Security and Privacy Challenges in SDN-Enabled IoT Systems: Causes, Proposed Solutions, and Future Directions

Software-Defined Networking (SDN) represents a significant paradigm shift in network architecture, separating network logic from the underlying forwarding...

article image
Computers, Materials & Continua
REVIEW

Evolution and Prospects of Foundation Models: From Large Language Models to Large Multimodal Models

Since the 1950s, when the Turing Test was introduced, there has been notable progress in machine language intelligence. Language modeling, crucial for...

article image
Computers, Materials & Continua
REVIEW

A Review of Image Steganography Based on Multiple Hashing Algorithm

Steganography is a technique for hiding secret messages while sending and receiving communications through a cover item. From ancient times to the present,...

article image
Computers, Materials & Continua
REVIEW

Randomization Strategies in Image Steganography Techniques: A Review

Image steganography is one of the prominent technologies in data hiding standards. Steganographic system performance mostly depends on the embedding strategy....

article image
Computers, Materials & Continua
REVIEW

AI-Driven Learning Management Systems: Modern Developments, Challenges and Future Trends during the Age of ChatGPT

COVID-19 pandemic restrictions limited all social activities to curtail the spread of the virus. The foremost and most prime sector among those affected...

article image
Computer Modeling in Engineering & Sciences
REVIEW

A Comprehensive Systematic Review: Advancements in Skin Cancer Classification and Segmentation Using the ISIC Dataset

The International Skin Imaging Collaboration (ISIC) datasets are pivotal resources for researchers in machine learning for medical image analysis, especially...

article image
Computer Modeling in Engineering & Sciences
REVIEW

A Comprehensive Survey on Federated Learning in the Healthcare Area: Concept and Applications

Federated learning is an innovative machine learning technique that deals with centralized data storage issues while maintaining privacy and security....

article image
Journal of Renewable Materials
REVIEW

Application of Plant-Based Coagulants and Their Mechanisms in Water Treatment: A Review

This review describes the mechanisms of natural coagulants. It provides a good understanding of the two key processes of coagulation-flocculation: adsorption...

article image
Journal of Renewable Materials
ARTICLE

Morphological Evolution of Self-Assembled Sodium Dodecyl Sulfate/Dodecyltrimethylammonium Bromide@Epoxy-β-Cyclodextrin Supramolecular Aggregates Induced by Temperature

Bio-based cyclodextrins (CDs) are a common research object in supramolecular chemistry. The special cavity structure of CDs can form supramolecular self-assemblies...

article image
Computer Modeling in Engineering & Sciences
ARTICLE

Highly Differentiated Target Detection under Extremely Low-Light Conditions Based on Improved YOLOX Model

This paper expounds upon a novel target detection methodology distinguished by its elevated discriminatory efficacy, specifically tailored for environments...

article image
Oncology Research
Special Issue

Transcriptome Analysis in Tumor Microenvironment and Tumor Heterogeneity

The tumor microenvironment encompasses not only the tumor cells themselves, but also the surrounding fibroblasts, immunological and inflammatory cells,...

article image
Computers, Materials & Continua
Special Issue

Machine Vision Detection and Intelligent Recognition

Machine vision detection and intelligent recognition are important research areas in computer vision with wide-ranging applications in manufacturing,...

article image
Computers, Materials & Continua
Special Issue

Deep Learning based Object Detection and Tracking in Videos

Object detection and tracking in videos has become an increasingly important area of research due to its potential applications in a variety of domains...

article image
Computer Modeling in Engineering & Sciences
Special Issue

Computer-Aided Uncertainty Modeling and Reliability Evaluation for Complex Engineering Structures

With the progress of science and technology, more and more complex engineering structures are serving in extreme environments. In the service life of...

article image
BIOCELL
Special Issue

Extracellular Vesicles and Cancer

Extracellular vesicles  (EVs) are phospholipid bilayer vesicles released from tumor and non-tumor cells for intercellular communication. EVs contain...

article image
Computer Modeling in Engineering & Sciences
Special Issue

Peridynamics and its Current Progress

The peridynamics proposed by Silling [1] is a non-local theory of solid mechanics. It redefines the problems by using integral equations rather than partial...

article image
Computer Modeling in Engineering & Sciences
Special Issue

Recent Developments on Computational Biology-I

In modern time, experts started to use interdisciplinary properties with the developing of technology and science. Thus, these disciplines provide more...

article image
Computer Modeling in Engineering & Sciences
Special Issue

Computer Modeling for Smart Cities Applications

More than half of the world population is living in cities. It requires extended infrastructure and various services to support the densely concentrated...

Latest Articles
Journal on Artificial Intelligence
Review

A Comprehensive Overview and Comparative Analysis on Deep Learning Models

Deep learning (DL) has emerged as a powerful subset of machine learning (ML) and artificial intelligence (AI), outperforming traditional ML methods, especially in handling unstructured and large datasets. Its impact spans across various domains, including speech recognition, healthcare, autonomous vehicles, cybersecurity, predictive analytics, and more. However, the complexity and dynamic nature of real-world problems present challenges in designing effective deep learning models. Consequently, several deep learning models have been developed to address different problems and…

Computer Systems Science and Engineering
Review

Software Reliability Prediction Using Ensemble Learning on Selected Features in Imbalanced and Balanced Datasets: A Review

Redundancy, correlation, feature irrelevance, and missing samples are just a few problems that make it difficult to analyze software defect data. Additionally, it might be challenging to maintain an even distribution of data relating to both defective and non-defective software. The latter software class’s data are predominately present in the dataset in the majority of experimental situations. The objective of this review study is to demonstrate the effectiveness of combining ensemble learning and feature selection…

Computer Systems Science and Engineering
Article

Improving Smart Home Security via MQTT: Maximizing Data Privacy and Device Authentication Using Elliptic Curve Cryptography

The rapid adoption of Internet of Things (IoT) technologies has introduced significant security challenges across the physical, network, and application layers, particularly with the widespread use of the Message Queue Telemetry Transport (MQTT) protocol, which, while efficient in bandwidth consumption, lacks inherent security features, making it vulnerable to various cyber threats. This research addresses these challenges by presenting a secure, lightweight communication proxy that enhances the scalability and security of MQTT-based Internet of Things (IoT)…

Computer Systems Science and Engineering
Article

SAR-LtYOLOv8: A Lightweight YOLOv8 Model for Small Object Detection in SAR Ship Images

The high coverage and all-weather capabilities of Synthetic Aperture Radar (SAR) image ship detection make it a widely accepted method for maritime ship positioning and identification. However, SAR ship detection faces challenges such as indistinct ship contours, low resolution, multi-scale features, noise, and complex background interference. This paper proposes a lightweight YOLOv8 model for small object detection in SAR ship images, incorporating key structures to enhance performance. The YOLOv8 backbone is replaced by the Slim…

Computer Systems Science and Engineering
Article

Machine Learning-Driven Classification for Enhanced Rule Proposal Framework

In enterprise operations, maintaining manual rules for enterprise processes can be expensive, time-consuming, and dependent on specialized domain knowledge in that enterprise domain. Recently, rule-generation has been automated in enterprises, particularly through Machine Learning, to streamline routine tasks. Typically, these machine models are black boxes where the reasons for the decisions are not always transparent, and the end users need to verify the model proposals as a part of the user acceptance testing to trust…

Computer Systems Science and Engineering
Article

Performance Analysis of Machine Learning-Based Intrusion Detection with Hybrid Feature Selection

More businesses are deploying powerful Intrusion Detection Systems (IDS) to secure their data and physical assets. Improved cyber-attack detection and prevention in these systems requires machine learning (ML) approaches. This paper examines a cyber-attack prediction system combining feature selection (FS) and ML. Our technique’s foundation was based on Correlation Analysis (CA), Mutual Information (MI), and recursive feature reduction with cross-validation. To optimize the IDS performance, the security features must be carefully selected from multiple-dimensional datasets,…

Computer Systems Science and Engineering
Article

Software Cost Estimation Using Social Group Optimization

This paper introduces the integration of the Social Group Optimization (SGO) algorithm to enhance the accuracy of software cost estimation using the Constructive Cost Model (COCOMO). COCOMO’s fixed coefficients often limit its adaptability, as they don’t account for variations across organizations. By fine-tuning these parameters with SGO, we aim to improve estimation accuracy. We train and validate our SGO-enhanced model using historical project data, evaluating its performance with metrics like the mean magnitude of relative

Computer Systems Science and Engineering
Article

A Secure Blockchain-Based Vehicular Collision Avoidance Protocol: Detecting and Preventing Blackhole Attacks

This work aims to examine the vulnerabilities and threats in the applications of intelligent transport systems, especially collision avoidance protocols. It focuses on achieving the availability of network communication among traveling vehicles. Finally, it aims to find a secure solution to prevent blackhole attacks on vehicular network communications. The proposed solution relies on authenticating vehicles by joining a blockchain network. This technology provides identification information and receives cryptography keys. Moreover, the ad hoc on-demand distance vector…

Computer Systems Science and Engineering
Article

Evaluating Public Sentiments during Uttarakhand Flood: An Artificial Intelligence Techniques

Users of social networks can readily express their thoughts on websites like Twitter (now X), Facebook, and Instagram. The volume of textual data flowing from users has greatly increased with the advent of social media in comparison to traditional media. For instance, using natural language processing (NLP) methods, social media can be leveraged to obtain crucial information on the present situation during disasters. In this work, tweets on the Uttarakhand flash flood are analyzed using…

Computer Systems Science and Engineering
Article

Performance-Oriented Layout Synthesis for Quantum Computing

Layout synthesis in quantum computing is crucial due to the physical constraints of quantum devices where quantum bits (qubits) can only interact effectively with their nearest neighbors. This constraint severely impacts the design and efficiency of quantum algorithms, as arranging qubits optimally can significantly reduce circuit depth and improve computational performance. To tackle the layout synthesis challenge, we propose an algorithm based on integer linear programming (ILP). ILP is well-suited for this problem as it…

Computer Systems Science and Engineering
Article

An Expert System to Detect Political Arabic Articles Orientation Using CatBoost Classifier Boosted by Multi-Level Features

The number of blogs and other forms of opinionated online content has increased dramatically in recent years. Many fields, including academia and national security, place an emphasis on automated political article orientation detection. Political articles (especially in the Arab world) are different from other articles due to their subjectivity, in which the author’s beliefs and political affiliation might have a significant influence on a political article. With categories representing the main political ideologies, this problem…

Computer Systems Science and Engineering
Review

A Systematic Literature Review on Blockchain Consensus Mechanisms’ Security: Applications and Open Challenges

This study conducts a systematic literature review (SLR) of blockchain consensus mechanisms, an essential protocols that maintain the integrity, reliability, and decentralization of distributed ledger networks. The aim is to comprehensively investigate prominent mechanisms’ security features and vulnerabilities, emphasizing their security considerations, applications, challenges, and future directions. The existing literature offers valuable insights into various consensus mechanisms’ strengths, limitations, and security vulnerabilities and their real-world applications. However, there remains a gap in synthesizing and analyzing…

Computer Systems Science and Engineering
Article

Intelligent PID Control Method for Quadrotor UAV with Serial Humanoid Intelligence

Quadrotor unmanned aerial vehicles (UAVs) are widely used in inspection, agriculture, express delivery, and other fields owing to their low cost and high flexibility. However, the current UAV control system has shortcomings such as poor control accuracy and weak anti-interference ability to a certain extent. To address the control problem of a four-rotor UAV, we propose a method to enhance the controller’s accuracy by considering underactuated dynamics, nonlinearities, and external disturbances. A mathematical model is…

Computer Systems Science and Engineering
Review

A Survey of Lung Nodules Detection and Classification from CT Scan Images

In the contemporary era, the death rate is increasing due to lung cancer. However, technology is continuously enhancing the quality of well-being. To improve the survival rate, radiologists rely on Computed Tomography (CT) scans for early detection and diagnosis of lung nodules. This paper presented a detailed, systematic review of several identification and categorization techniques for lung nodules. The analysis of the report explored the challenges, advancements, and future opinions in computer-aided diagnosis CAD systems…

Computer Systems Science and Engineering
Review

A Systematic Review of Automated Classification for Simple and Complex Query SQL on NoSQL Database

A data lake (DL), abbreviated as DL, denotes a vast reservoir or repository of data. It accumulates substantial volumes of data and employs advanced analytics to correlate data from diverse origins containing various forms of semi-structured, structured, and unstructured information. These systems use a flat architecture and run different types of data analytics. NoSQL databases are nontabular and store data in a different manner than the relational table. NoSQL databases come in various forms, including…

Computers, Materials & Continua
Review

Discrete Choice Models and Artificial Intelligence Techniques for Predicting the Determinants of Transport Mode Choice—A Systematic Review

Forecasting travel demand requires a grasp of individual decision-making behavior. However, transport mode choice (TMC) is determined by personal and contextual factors that vary from person to person. Numerous characteristics have a substantial impact on travel behavior (TB), which makes it important to take into account while studying transport options. Traditional statistical techniques frequently presume linear correlations, but real-world data rarely follows these presumptions, which may make it harder to grasp the complex interactions. Thorough…

Call for papers
Special Issue
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Computer Modeling in Engineering & Sciences

Recent Advances in Design and Manufacturing...

Guest Editors: Leong Hien Poh; Jie Zhi; Qixun Li; Yifeng Zhong Deadline: 30 September 2025

Special Issue
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Computers, Materials & Continua

Advancing Feature Engineering for Knowledge...

Guest Editors: Man-Fai Leung; Athanasios V. Vasilakos Deadline: 01 September 2025

Special Issue
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Computers, Materials & Continua

Multiscale and Multiphysics Computational...

Guest Editors: Zhiqiang Yang; Zifeng Yuan; Yuhang Jing; Xia Tian Deadline: 31 August 2025

Special Issue
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Computers, Materials & Continua

Innovative Approaches to the Materials...

Guest Editors: Reliance Jain; Sheetal Kumar Dewangan‬; Sandeep Jain; Rameshwar... Deadline: 31 July 2025

Special Issue
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Computers, Materials & Continua

Advancements in Composite Materials through...

Guest Editors: Alessio Cascardi; Salvatore Verre Deadline: 01 July 2025

Special Issue
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Computer Modeling in Engineering & Sciences

Smoothed Particle Hydrodynamics (SPH):...

Guest Editors: Leonardo Di G. Sigalotti; Fidel Cruz Peregrino; Jaime Klapp Deadline: 01 July 2025

Special Issue
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Computers, Materials & Continua

Exploring Recent Trends and Advances in...

Guest Editors: Nurul Mu'azzah Abdul Latiff; Fahad Taha AL-Dhief; Musatafa Abbas... Deadline: 30 June 2025

Special Issue
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Computer Modeling in Engineering & Sciences

Advanced Computational Intelligence Techniques,...

Guest Editors: A. Dounis; I. Kalatzis Deadline: 31 May 2025

Special Issue
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Computers, Materials & Continua

New Trends in Immersive Virtual Environments

Guest Editors: Diego Vergara; Álvaro Antón-Sancho; Pablo Fernández-Arias Deadline: 31 May 2025

Special Issue
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Computers, Materials & Continua

Security and Network Architecture Challenges...

Guest Editors: Muhammad Adil; Ahmed Farouk; Bouziane Brik Deadline: 30 May 2025

Special Issue
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Computers, Materials & Continua

Emerging Synergies: AI Industry Security...

Guest Editors: Thi-Thu-Huong Le; Yustus Eko Oktian; Howon Kim Deadline: 21 May 2025

Special Issue
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Computer Modeling in Engineering & Sciences

Key Technologies and Applications of Blockchain...

Guest Editors: Chin-Ling Chen; Hsing-Chung Chen Deadline: 15 April 2025

Special Issue
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Computers, Materials & Continua

Multi-Modal Deep Learning for Advanced...

Guest Editors: Simon Fong; Sabah Mohammed; ​Tengyue Li Deadline: 01 April 2025

Special Issue
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Structural Durability & Health Monitoring

Sensing Data Based Structural Health Monitoring...

Guest Editors: Hua-Ping Wang; Jose Campos e Matos Deadline: 31 March 2025

Special Issue
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Computers, Materials & Continua

Research on Deep Learning-based Object...

Guest Editors: Guanqiu Qi; Zhiqin Zhu; Zhihao Zhou; Yinong Chen Deadline: 31 March 2025

Special Issue
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Computers, Materials & Continua

Particle Swarm Optimization: Advances and...

Guest Editors: Diego Oliva; Mario A. Navarro Deadline: 31 March 2025

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