Experimental and CFD research on the minimum height of the combined type hydraulic-driven system in hydro-floating ship lifts by Bo Wu, Yaan Hu, Shu Xue

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Optimal Design of Steel Structures Using Innovative Black Widow Algorithm Hybridized with Greedy Sensitivity-Based Particle Swarm Optimization Technique by Mohammad Reza Ghasemi, Abdolhamid Salarnia, Mehdi Ghasri

“…The results show that the greedy sensitivity-based PSO technique can improve computational efficiency in solving discrete variable structural optimization problems. …”
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SED-NET: Real-Time Suspicious Event Detection via Deep Learning-Based Di-Stream Neural Network by D. Siva Senthil, T. S. Sivarani

“…The effectiveness of the proposed SED-NET method was evaluated using specificity, accuracy, sensitivity, and F1 score. …”
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Machine Learning-Based Expression Generation Technology for Virtual Characters in Film and Television Art by Yi Zhang, Junting Qian

“…Abstract Facial expression generation played an essential role in virtual avatars, television, film art, and human–computer interaction. The existing synthesis model faces difficulties due to poor generalization, unnatural distortion, identity inconsistency, and weak lip synchronization with audio. …”
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Masterpiece Optimization Algorithm: A New Method for Solving Engineering Problems by Mohammad Reza Ghasemi, Nader Haji Aghajanpour, Hamed Ghohani Arab

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Enhancing Stock Portfolio Selection with Trapezoidal Bipolar Fuzzy VIKOR Technique with Boruta-GA Hybrid Optimization Model: A Multicriteria Decision-Making Approach by Sunil Kumar Sharma

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Med Box: Smart Medication Reminding & Monitoring by Zahid ALI KHAN, Khuzama Nadeem, Ali Hassan

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A Novel Human Action Recognition Model by Grad-CAM Visualization with Multi-level Feature Extraction Using Global Average Pooling with Sequence Modeling by Bidirectional Gated Recu... by Jayamohan Manoharan, Yuvaraj Sivagnanam

“…Abstract Human action recognition is essential in many real-world scenarios, such as video surveillance, human–computer interaction, and behavior analysis. Despite the progress in deep learning, issues such as occlusion, distraction from the background, and motion pattern variability still exist, thus restricting the generalization ability of current models. …”
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A strategy for network multi-layer information fusion based on multimodel in user emotional polarity analysis by Ronghua Wang, Peng Zhuang

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Efficient Behavior Factor Estimation in Moment-Resisting Reinforced Concrete Frames through Gene Expression Programming by Niloufar Azhdari, Seyed Shaker Hashemi, Saeid Javidi, Abdorreza Fazeli

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Machine Learning and Metaheuristic Algorithms for Voice-Based Authentication: A Mobile Banking Case Study by Leili Nosrati, Amir Massoud Bidgoli, Hamid Haj Seyyed Javadi

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Structural Damage Identification Using Novel Objective Functions and Metaheuristic Algorithms by Moeinoddin Rokhsati, Mohamad Mohamadi Dehcheshmeh, Gholamreza Ghodrati Amiri, Morteza Raissi Dehkordi

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MEViT: Generalization of Deepfake Detection With Meta-Learning EfficientNet Vision Transformer by Van-Nhan Tran, Hoanh-Su Le, Piljoo Choi, Suk-Hwan Lee, Ki-Ryong Kwon

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Quantitative Cybersecurity Analysis Framework for Cyber Physical Systems: A Conceptual Approach by Alhassan Abdulhamid, Sohag Kabir, Ibrahim Ghafir, Ci Lei, Khalil El Hindi, Mohammad Hammoudeh

“…This paper presents a quantitative analysis framework for evaluating the security attributes of CPS conceptual design. …”
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Lattice-Based Decision Models for Green Urban Development: Insights from $$L_{q}*$$ L q ∗ q-Rung Orthopair Multi-fuzzy Soft Set by Vimala Jayakumar, Mahalakshmi Pethaperumal, Nasreen Kausar, Dragan Pamucar, Vladimir Simic, Mohammed Abdullah Salman

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Many-Objective Cheetah Optimizer: A Novel Paradigm for Solving Complex Engineering Problems by Pinank Patel, Divya Adalja, Nikunj Mashru, Pradeep Jangir, Arpita, Reena Jangid, G. Gulothungan, Ahmad O. Hourani, Kaznah Alshammari

“…The algorithm demonstrates superior efficiency in solving complex MaOPs, because it requires lower computational costs by 15%. MaOCO successfully traverses Pareto-optimal fronts according to theoretical evaluations, and its modular structure allows for both scale-up and hybridization features. …”
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Assessment of Machine Learning Methods for Concrete Compressive Strength Prediction by Oluwafemi Omotayo, Chinwuba Arum, Catherine Ikumapayi

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Ground Vibrations Prediction Using Artificial Neural Networks by Ismail Derbal, Nouredine Bourahla, Ahmed Mebarki, Ramdane Bahar

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SwinSegFormer: Advancing Aerial Image Semantic Segmentation for Flood Detection by Muhammad Tariq Shaheen, Hafsa Iqbal, Numan Khurshid, Haleema Sadia, Nasir Saeed

“…Traditional techniques face challenges in capturing global semantic information due to their limited receptive fields, and high computational requirement. To address these issues, we propose a novel transformer-based model named SwinSegFormer, which feature a hierarchical encoder that efficiently generates multi-scale high-resolution features along with a lightweight decoder to reduce computational overhead. …”
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Deep Learning Algorithm for Optimized Sensor Data Fusion in Fault Diagnosis and Tolerance by M. Elhoseny, Deepak Dasaratha Rao, Bala Dhandayuthapani Veerasamy, Noha Alduaiji, J. Shreyas, Piyush Kumar Shukla

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