Novel conditional tabular generative adversarial network based image augmentation for railway track fault detection by Ali Raza, Rukhshanda Sehar, Abdul Moiz, Ala Saleh Alluhaidan, Sahar A. El-Rahman, Diaa Salama AbdElminaam

“…The proposed research enhances operational efficiency, reduces maintenance costs, and significantly improves the safety and reliability of rail transportation.…”
Get full text

Segmentation of pores in carbon fiber reinforced polymers using the U-Net convolutional neural network by Miroslav Yosifov, Patrick Weinberger, Bernhard Plank, Bernhard Fröhler, Markus Hoeglinger, Johann Kastner, Christoph Heinzl

Get full text

A Residual Physics-Informed Neural Network Approach for Identifying Dynamic Parameters in Swing Equation-Based Power Systems by Jiani Zeng, Xianglong Li, Hanqi Dai, Lu Zhang, Weixian Wang, Zihan Zhang, Shengxin Kong, Liwen Xu

Get full text

Human-based metaheuristics and non-parametric learning for groundwater-prone area mapping by Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi-Niaraki, Seyedeh Zeinab Shogrkhodaei, Biswajeet Pradhan, Soo-Mi Choi

“…We leverage TLBO and CA for hyperparameter tuning, optimizing model performance in predicting groundwater potential. …”
Get full text

Cyberattack Detection Systems in Industrial Internet of Things (IIoT) Networks in Big Data Environments by Abdullah Orman

“…Additionally, the study explores a broad range of hyperparameter configurations, optimizing model effectiveness for IIoT-specific intrusion detection. …”
Get full text

Enhanced Artificial Rabbit Optimization with attention-based deep learning for leukemia cancer classification by Sabita Rani Behera, Bibudhendu Pati, Devee Sivaprasad Dulam

“…Then the EARO algorithm is designed by using the Levy flight (LF) model for hyperparameter tuning. Finally, an improved temporal convolution network (ITCN) model is applied for classification purposes. …”
Get full text

Optimization Strategies for Atari Game Environments: Integrating Snake Optimization Algorithm and Energy Valley Optimization in Reinforcement Learning Models by Sadeq Mohammed Kadhm Sarkhi, Hakan Koyuncu

“…One of the biggest problems in gaming AI is related to how we can optimize and adapt a deep reinforcement learning (DRL) model, especially when it is running inside complex, dynamic environments like “PacMan”. The existing research has concentrated more or less on basic DRL approaches though the utilization of advanced optimization methods. …”
Get full text

Assessing the Validity of k-Fold Cross-Validation for Model Selection: Evidence from Bankruptcy Prediction Using Random Forest and XGBoost by Vlad Teodorescu, Laura Obreja Brașoveanu

Get full text

LSTM-Based State-of-Charge Estimation and User Interface Development for Lithium-Ion Battery Management by Abdellah Benallal, Nawal Cheggaga, Amine Hebib, Adrian Ilinca

“…This work offers a scalable, accurate, and user-friendly SOC estimation solution for commercial BMSs, with future research aimed at extending the framework to other battery chemistries and hybrid energy systems.…”
Get full text

Enhancing CO2 emissions prediction for electric vehicles using Greylag Goose Optimization and machine learning by Ahmed El-Sayed Saqr, Mohamed S. Saraya, El-Sayed M. El-Kenawy

“…Finally, the study does a comparative analysis with some established optimization algorithms in hyperparameter tuning regarding an improved accuracy model. …”
Get full text

Computationally Efficient Transfer Learning Pipeline for Oil Palm Fresh Fruit Bunch Defect Detection by Yang Luo, Anwar P. P. Abdul Majeed, Zaid Omar, Saad Aslam, Yi Chen

“…Using feature-based transfer learning, where pre-trained Convolutional Neural Network architectures, namely EfficientNet_B0, EfficientNet_B4, ResNet152, and VGG16, serve as fixed feature extractors coupled with the Logistic Regression classifier, this research evaluated the performance on a dataset of 466 images categorized as defective or non-defective. …”
Get full text

Enhancing Multi-Class Classification of Non-Functional Requirements Using a BERT-DBN Hybrid Model by Badzliana Aqmar Suris, Aris Thobirin, Sugiyarto Surono, Mohamed Naeem Antharathara Abdulnazar

“…The main challenges in NFR classification are data limitations, text complexity, and high generalization needs. Objective: This research seeks to create a classification model using a hybrid of BERT and DBN, optimize hyperparameters, and improve data representation. …”
Get full text

Improving COPD Readmission Prediction with Optimized Machine Learning by Rajasekaran S, Shaik Mastan Val

“…Therefore, it becomes vital to identify hospital readmission risk early on. This research undertook a comparative analysis between 2 distinct models, Extra Trees Classification (ETC) and Adaptive-Boost Learning Classifier (ADAC), each augmented with School Based Optimization (SBO) and Flying Foxes Optimization (FFO) techniques for hyperparameter optimization. …”
Get full text

Development of an efficient method for object detection and localization in 3D space using RGBD cameras for autonomous systems by Nataliya Boyko

“…The results of experimental research confirm a high level of accuracy and stability even under challenging conditions. …”
Get full text

Enhancing Tomato Leaf Disease Detection via Optimized VGG16 and Transfer Learning Techniques by Sandy Putra Siregar, Imam Akbari, Poningsih Poningsih, Anjar Wanto, Solikhun Solikhun

“…These findings will drive further research to improve tehe performance of the proposed method for foliar disease classification and comparable applications.…”
Get full text

Smart Defect Detection in Aero-Engines: Evaluating Transfer Learning with VGG19 and Data-Efficient Image Transformer Models by Samira Mohammadi, Vahid Rahmanian, Sasan Sattarpanah Karganroudi, Mehdi Adda

“…RandomSearchCV was used for hyperparameter optimization, and we selectively froze some layers during training to help better tailor the models to our dataset. …”
Get full text

D2: An LLM agent driving end-to-end visual AI modeling in energy platforms by Yu Li, Qiaoqiao Zhao, Min Hou, Quansheng Bai, Xiyan Zou, Changle Xie, Chang Shu, Boyang Ma, Zhijin Li

Get full text

A Transductive Zero-Shot Learning Framework for Ransomware Detection Using Malware Knowledge Graphs by Ping Wang, Hao-Cyuan Li, Hsiao-Chung Lin, Wen-Hui Lin, Nian-Zu Xie

Get full text

Computer Vision With Explainable Artificial Intelligence for Visual Pollution Detection in the Kingdom of Saudi Arabia by Alanoud Al Mazroa, Mohammed Maray, Abdullah M. Alashjaee, Faiz Abdullah Alotaibi, Ahmad A. Alzahrani, Abdulwhab Alkharashi, Shoayee Dlaim Alotaibi, Mrim M. Alnfiai

“…Environmental pollution often results from numerous human actions. Researchers have studied the risks and impacts of harmful pollutants and environmental contamination for years, leading to the implementation of several critical measures. …”
Get full text

Geospatial SHAP interpretability for urban road collapse susceptibility assessment: a case study in Hangzhou, China by Bofan Yu, Hui Li, Huaixue Xing, Weiya Ge, Liling Zhou, Jinrui Zhang, Meijun Xu, Cheng Yu

“…Utilizing Optuna for hyperparameter tuning, we developed a high-performance XGBoost model to assess the susceptibility of the most impactful disaster in Hangzhou: urban road collapses. …”
Get full text