A hybrid path planning algorithm combining A* and improved ant colony optimization with dynamic window approach for enhancing energy efficiency in warehouse environments by Mingyu Wu, Eileen Lee Ming Su, Che Fai Yeong, Bowen Dong, William Holderbaum, Chenguang Yang

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Securing IoT devices with zero day intrusion detection system using binary snake optimization and attention based bidirectional gated recurrent classifier by Ali Saeed Almuflih, Ilyos Abdullayev, Sergey Bakhvalov, Rustem Shichiyakh, Bibhuti Bhusan Dash, K. B. V. Brahma Rao, Kritika Bansal

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Transfer learning-enhanced CNN-GRU-attention model for knee joint torque prediction by Hao Xie, Yingpeng Wang, Tingting Liu, Songhua Yan, Jizhou Zeng, Kuan Zhang

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Antenna systems for IoT applications: a review by Sunawar Khan, Tehseen Mazhar, Tariq Shahzad, Afsha Bibi, Wasim Ahmad, Muhammad Amir Khan, Mamoon M. Saeed, Habib Hamam

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Deep learning radiomics based on contrast enhanced MRI for preoperatively predicting early recurrence in hepatocellular carcinoma after curative resection by Ying Zhao, Sen Wang, Sen Wang, Yue Wang, Jun Li, Jinghong Liu, Yuhui Liu, Haitong Ji, Wenhan Su, Qinhe Zhang, Qingwei Song, Yu Yao, Yu Yao, Ailian Liu, Ailian Liu

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Projecting Forest Fire Probability in South Korea Under Climate Change, Population, and Forest Management Scenarios Using AI & Process-Based Hybrid Model (FLAM-Net) by Hyun-Woo Jo, Myoungsoo Won, Florian Kraxner, Seong Woo Jeon, Yowhan Son, Andrey Krasovskiy, Woo-Kyun Lee

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Monitoring and Controlling Electric Power Stations Using GSM Network by Goran Ismail, Bilal A. Mubdir, Asso Majeed, Asaad Mubdir Jassim Al-Hindawi

“…Software written with Vb.Net, works as Human Machine Interface (HMI) for this purpose. The system performance is acceptable in terms of errors in readings and time delay. …”
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Grain boundary amorphization as a strategy to mitigate lithium dendrite growth in solid-state batteries by Yiwei You, Dexin Zhang, Zhifeng Wu, Tie-Yu Lü, Xinrui Cao, Yang Sun, Zi-Zhong Zhu, Shunqing Wu

“…Abstract Solid-state lithium metal batteries using garnet-type Li7La3Zr2O12 electrolytes hold immense promise for next-generation energy storage, but grain boundary defects promote lithium redistribution and dendrite formation, compromising performance and safety. To address this, we investigate lithium behavior at these boundaries using machine learning potentials and molecular dynamics simulations. …”
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Prospective identification of extracellular triacylglycerol hydrolase with conserved amino acids in Amycolatopsis tolypomycina’s high G+C genomic dataset by Supajit Sraphet, Bagher Javadi

“…By pinpointing key residues and understanding their role, this study sets the stage for enhancing ETH performance through computational proteogenomic and contributes to the broader field of enzyme engineering, facilitating the development of more efficient and versatile ETH enzymes tailored to specific industrial or environmental contexts.…”
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Technical features of controlled cooling of circular workpieces after ring rolling by V. E. Antonyuk, S. G. Sandomirski, V. V. Yavorski

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Enhance health evidence quality in classification tasks: A triangulation approach utilizing case-based reasoning and process features by Ruihua Guo, Ross Smith, Qifan Chen, Angus Ritchie, Simon Poon

“…Objective Machine learning (ML) has enabled healthcare discoveries by facilitating efficient modeling, such as for cancer screening. …”
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A Review of Emerging Techniques for Power Quality Improvement in Renewable Energy Integration by Kumar P. Rajesh, Shravani Chapala, Rajitha M., Lokeshwar Reddy Ch.

“…Future research directions are outlined, highlighting the need for further advancements in real-time monitoring, adaptive algorithms, and hybrid systems that combine multiple techniques for optimal performance. This review serves as a valuable resource for researchers, engineers, and policymakers seeking to understand and address the power quality challenges associated with renewable energy integration in modern and future power systems.…”
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Multimodal Face Data Sets—A Survey of Technologies, Applications, and Contents by Kamela Al-Mannai, Khaled Al-Thelaya, Jens Schneider, Spiridon Bakiras

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Improving pluvial flood simulations with a multi-source digital elevation model super-resolution method by Y. Zhu, Y. Zhu, P. Burlando, P. Y. Tan, C. Geiß, C. Geiß, S. Fatichi

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Blockchain enabled deep learning model with modified coati optimization for sustainable healthcare disease detection and classification by Heba G. Mohamed, Fadwa Alrowais, Fahd N. Al-Wesabi, Mesfer Al Duhayyim, Anwer Mustafa Hilal, Abdelwahed Motwakel

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Does metaverse improve recommendations quality and customer trust? A user-centric evaluation framework based on the cognitive-affective-behavioural theory by Rabab Ali Abumalloh, Mehrbakhsh Nilashi, Osama Halabi, Raian Ali

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Integrated GBR–NSGA-II Optimization Framework for Sustainable Utilization of Steel Slag in Road Base Layers by Merve Akbas

“…This study proposes an integrated, machine learning-based multi-objective optimization framework to evaluate and optimize the utilization of steel slag in road base layers, simultaneously addressing economic costs and environmental impacts. …”
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Deep learning-based technique for investigating the behavior of MEMS systems with multiwalled carbon nanotubes and electrically actuated microbeams by Muhammad Amir, Jamshaid Ul Rahman, Ali Hasan Ali, Ali Raza, Zaid Ameen Abduljabbar, Husam A. Neamah

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Weighted explainable federated learning for privacy-preserving and scalable energy optimization in autonomous vehicular networks by Muhammad Saleem, Ali Arishi, Muhammad Sajid Farooq, M.A. Khan, Khan M. Adnan

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Dual-stage segmentation and classification framework for skin lesion analysis using deep neural network by Khadija Manzoor, Nauman U Gilal, Marco Agus, Jens Schneider

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