Deep learning–based classification of parotid gland tumors: integrating dynamic contrast-enhanced MRI for enhanced diagnostic accuracy by Kazim Ayberk Sinci, Ilker Ozgur Koska, Yusuf Kenan Cetinoglu, Nezahat Erdogan, Ali Murat Koc, Nuket Ozkavruk Eliyatkin, Cagan Koska, Barkan Candan

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Review of online quality control for laser directed energy deposition (LDED) additive manufacturing by Long Ye, Hao Xue, Zhaosheng Li, Yichang Zhou, Guangyu Chen, Fangda Xu, Ruslan Melentiev, Stephen Newman, Nan Yu

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Detection of Bipolar Disorder and Schizophrenia Employing Bayesian-Optimized Grad-CAM-Driven Deep Learning by Osman Tayfun Bişkin, Cemre Candemir, Mustafa Alper Selver

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Foreground-Driven Contrastive Learning for Unsupervised Human Keypoint Detection by Shuxian Li, Hui Luo, Zhengwei Miao, Zhixing Wang, Qiliang Bao, Jianlin Zhang

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A fuzzy multi-criteria decision-making for optimizing supply chain aggregate production planning based on cost reduction and risk mitigation by Noppasorn Sutthibutr, Kunihiko Hiraishi, Navee Chiadamrong

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A Novel Local Binary Patterns-Based Approach and Proposed CNN Model to Diagnose Breast Cancer by Analyzing Histopathology Images by Mehmet Gul

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Artificial intelligence-empowered functional design of semi-transparent optoelectronic and photonic devices via deep Q-learning by Caglar Cetinkaya, Erman Cokduygulular, Muhammed Yusuf Aykut, Okan Erkal, Fatma Aydogmus, Baris Kinaci

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Lung and Colon Cancer Classification Using Multiscale Deep Features Integration of Compact Convolutional Neural Networks and Feature Selection by Omneya Attallah

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Deep Learning Approach for Classifying DDoS Attack Traffic in SDN Environments by Mohd Nadeem, Shweta Dwivedi, Rizwan Akhtar, Shameem Ahmad Ansari, Saumya Singh, Eram Fatima Siddiqui, Rajeev Kumar

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Privacy-Preserving Continual Federated Clustering via Adaptive Resonance Theory by Naoki Masuyama, Yusuke Nojima, Yuichiro Toda, Chu Kiong Loo, Hisao Ishibuchi, Naoyuki Kubota

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Reinforcement learning-based alpha-list iterated greedy for production scheduling by Kuo-Ching Ying, Pourya Pourhejazy, Shih-Han Cheng

“…RAIG uses an N-List mechanism for solution initialization and its solution improvement procedure is enhanced by Reinforcement Learning and an Alpha-List mechanism for more effective searches. A classic engineering optimization problem, the Permutation Flowshop Scheduling Problem (PFSP), is considered for numerical experiments to evaluate RAIG's performance. …”
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Improving Wear Resistance of DLC-Coated Metal Components During Service: A Review by Luji Wu, Zhongchao Bai, Qingle Hao, Jiayin Qin

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Synergistic use of handcrafted and deep learning features for tomato leaf disease classification by Mohamed Bouni, Badr Hssina, Khadija Douzi, Samira Douzi

“…By merging classical feature engineering with modern machine learning techniques under mutual information-based feature fusion, our system sets a new standard for precision in agricultural diagnostics. …”
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A Comparison of Behavior Cloning Methods in Developing Interactive Opposing-Force Agents by Logan Lebanoff, Nicholas Paul, Christopher Ballinger, Patrick Sherry, Gavin Carpenter, Charles Newton

“…Traditional methods for creating agents, such as state machines or behavior trees, necessitate a significant amount of effort for developing state representations and transition processes through manual knowledge engineering. …”
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Virtual Modelling Framework-Based Inverse Study for the Mechanical Metamaterials with Material Nonlinearity by Yuhang Tian, Yuan Feng, Wei Gao

“…Mechanical metamaterials have become a critical research focus across various engineering fields. Recent advancements have pushed the development of reprogrammable mechanical metamaterials to achieve adaptive mechanical behaviours against external stimuli. …”
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Diabolical ironclad beetle elytra-inspired flexible WE43 magnesium endovascular stent structures and their biomechanical potential by Il Won Suh, Jinwoo Kim, Sieb Chanchamnan, Se Rim Jang, Esensil Man Hia, Chan Hee Park, Cheol Sang Kim

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A Review of Degradation and Reliability Analysis of a Solar PV Module by Zafar Ullah Khan, Adnan Daud Khan, Khalid Khan, Soliman Abdul Karim Al Khatib, Shahbaz Khan, Muhammad Qasim Khan, Abid Ullah

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Predictive Modeling of Textile Heat Sinks for Enhanced Thermal Management in Space and Military Applications by Michal Frydrysiak, Piotr Kosobudzki

“…THS samples were made on the HD 6/20-65 EL machine of Karl Mayer, with the calibration number E12. …”
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A framework for systematically applying humanistic ethics when using AI as a design material by Kyle Dent, Richelle Dumond, Mike Kuniavsky

“…As machine learning and AI systems gain greater capabilities and are deployed more widely, we – as designers, developers, and researchers – must consider both the positive and negative implications of their use. …”
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Fault Diagnosis of Hydraulic Pumps Using PSO-VMD and Refined Composite Multiscale Fluctuation Dispersion Entropy by Fuming Zhou, Xiaoqiang Yang, Jinxing Shen, Wuqiang Liu

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