Automated Fillet Weld Inspection Based on Deep Learning from 2D Images by Ignacio Diaz-Cano, Arturo Morgado-Estevez, José María Rodríguez Corral, Pablo Medina-Coello, Blas Salvador-Dominguez, Miguel Alvarez-Alcon

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INTELTRADE: Intelligent Peer-to-Peer Energy Trading System With Dynamic Pricing and Coalition Formation by Nicholas Kemp, Md Sadman Siraj, Eirini Eleni Tsiropoulou, Symeon Papavassiliou

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Femtosecond laser polishing of pure copper surfaces with perpendicular incidence by Emmanuel Loubère, Nada Kraiem, Aofei Mao, Sébastien Preaud, Andrzej Kusiak, Amélie Veillère, Jean-François Silvain, Yong Feng Lu

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Classifying Dementia Using Local Binary Patterns from Different Regions in Magnetic Resonance Images by Ketil Oppedal, Trygve Eftestøl, Kjersti Engan, Mona K. Beyer, Dag Aarsland

“…Our study demonstrates that LBP texture analysis in brain MR images can be successfully used for computer based dementia diagnosis.…”
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Developing an Intelligent System for Efficient Botnet Detection in IoT Environment by Ramesh Singh Rawat, Manoj Diwakar, Umang Garg, Prakash Srivastava

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An improved DeepLabv3 + railway track extraction algorithm based on densely connected and attention mechanisms by Yanbin Weng, Jie Yang, Changfan Zhang, Jing He, Cheng Peng, Lin Jia, Hui Xiang

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PRAPD: A novel received signal strength–based approach for practical rogue access point detection by Wenjia Wu, Xiaolin Gu, Kai Dong, Xiaomin Shi, Ming Yang

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Advancing Rice Grain Impurity Segmentation with an Enhanced SegFormer and Multi-Scale Feature Integration by Xiulin Qiu, Hongzhi Yao, Qinghua Liu, Hongrui Liu, Haozhi Zhang, Mengdi Zhao

“…Secondly, a Part Large Kernel Attention (Part-LKA) module was designed and introduced after feature fusion to help the model focus on key regions, simplifying the model and accelerating computation. Finally, to compensate for the lack of spatial interaction capabilities, Bottleneck Recursive Gated Convolution (B-<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mi mathvariant="normal">g</mi><mi>n</mi></msup></semantics></math></inline-formula>Conv) was introduced to achieve effective segmentation of rice grains and impurities. …”
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Sacrificing Alginate in Decellularized Extracellular Matrix Scaffolds for Implantable Artificial Livers by Chanh-Trung Nguyen, Van Phu Le, Thi Huong Le, Jeong Sook Kim, Sung Hoon Back, Kyo-in Koo

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State of Charge and State of Health Estimation in Electric Vehicles: Challenges, Approaches and Future Directions by Babatunde D. Soyoye, Indranil Bhattacharya, Mary Vinolisha Anthony Dhason, Trapa Banik

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Enhanced DET-Based Fault Signature Analysis for Reliable Diagnosis of Single and Multiple-Combined Bearing Defects by In-Kyu Jeong, Myeongsu Kang, Jaeyoung Kim, Jong-Myon Kim, Jeong-Min Ha, Byeong-Keun Choi

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Robust Malware identification via deep temporal convolutional network with symmetric cross entropy learning by Jiankun Sun, Xiong Luo, Weiping Wang, Yang Gao, Wenbing Zhao

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Privacy-preserving incentive mechanism for integrated demand response: A homomorphic encryption-based approach by Wen-Ting Lin, Guo Chen, Jueyou Li, Yan Lei, Wanli Zhang, Degang Yang, Tingzhen Ming

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A New GLLD Operator for Mass Detection in Digital Mammograms by N. Gargouri, A. Dammak Masmoudi, D. Sellami Masmoudi, R. Abid

“…During the last decade, several works have dealt with computer automatic diagnosis (CAD) of masses in digital mammograms. …”
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A Generalized Active Voltage Balancing Circuit Implementation for Flying Capacitor 3-Level Switching-Mode DC&#x2013;DC Converters by Elisabetta Moisello, Samuele Fusetto, Piero Malcovati, Edoardo Bonizzoni

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An Optimized Deep-Learning-Based Network with an Attention Module for Efficient Fire Detection by Muhammad Altaf, Muhammad Yasir, Naqqash Dilshad, Wooseong Kim

“…In the subsequent phase, the proposed network utilizes an attention-based deep neural network (DNN) named Xception for detailed feature selection while reducing the computational cost, followed by adaptive spatial attention (ASA) to further enhance the model’s focus on a relevant spatial feature in the training data. …”
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From Policy to Practice: Assessing Carbon Storage in Fujian Province Using Patch-Generating Land Use Simulation and Integrated Valuation of Ecosystem Services and Tradeoffs Models by Qin Nie, Wang Man, Zongmei Li, Xuewen Wu

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Constructing Attention-LSTM-VAE Power Load Model Based on Multiple Features by Chaoyue Ma, Ying Wang, Feng Li, Huiyan Zhang, Yong Zhang, Haiyan Zhang

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Using a YOLO Deep Learning Algorithm to Improve the Accuracy of 3D Object Detection by Autonomous Vehicles by Ramavhale Murendeni, Alfred Mwanza, Ibidun Christiana Obagbuwa

“…This study advances the field by showing how an efficient 2D detector can be extended to meet the complex demands of 3D object detection in real-world driving scenarios without sacrificing computational efficiency.…”
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Dual graph-embedded fusion network for predicting potential microbe-disease associations with sequence learning by Junlong Wu, Liqi Xiao, Liu Fan, Lei Wang, Xianyou Zhu, Xianyou Zhu

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