Computer-vision based automatic rider helmet violation detection and vehicle identification in Indian smart city scenarios using NVIDIA TAO toolkit and YOLOv8 by Uttam U. Deshpande, Goh Kah Ong Michael, Sufola Das Chagas Silva Araujo, Vaidehi Deshpande, Rudragoud Patil, Ramchandra Alias Ameet Chate, Varun R. Tandur, Supreet S. Goudar, Shreya Ingale, Vaishnavi Charantimath

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Enabling data conversion between Micromine and Surpac – enhancing efficiency in geological exploration by Fumei Liu

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Application research and effectiveness evaluation mechanism of hybrid intelligent algorithm integrating cognitive computing and deep learning for dynamically adjusting employee per... by Zhenlin Luo, Kebin Lu

“…Abstract This study investigates the impact of a hybrid intelligent algorithm, integrating cognitive computing and deep learning, on the dynamic adjustment of employee performance evaluation in multi-scale organizational networks, through simulation experiments. …”
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Energy Optimization and Efficiency Improvement Model for Enterprise Production Process Based on Deep Learning Under the Background of Carbon Peak and Carbon Neutrality by Hui Bai, Yiyi Chen, Hua Bai, Meiling Liu, Yu Fan

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Occlusion-Aware Worker Detection in Masonry Work: Performance Evaluation of YOLOv8 and SAMURAI by Seonjun Yoon, Hyunsoo Kim

“…YOLOv8’s frame-by-frame processing results in substantial performance degradation as occlusion severity increases, whereas SAMURAI’s memory-based tracking mechanism enables persistent worker identification across frames. …”
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High‐throughput calculation of large spin Hall conductivity in heavy‐metal‐based antiperovskite compounds by Xiong Xu, J. X. Lv, Y. Wang, Min Li, Zhe Wang, Hui Wang

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A New Quantum Circuits of Quantum Convolutional Neural Network for X-Ray Images Classification by Mohammed Yousif, Belal Al-Khateeb, Begonya Garcia-Zapirain

“…However, if the specified data dimension or model grows too large, CNN becomes difficult to train effectively with a slowdown processing. In order to address a problem using CNN utilizing quantum computing, Quantum Convolutional Neural Network (QCNN) proposes a novel quantum solution or enhances the functionality of an existing learning model in terms of processing time during training. …”
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Parallelization of Rainbow Tables Generation Using Message Passing Interface: A Study on NTLMv2, MD5, SHA-256 and SHA-512 Cryptographic Hash Functions by Mark Vainer, Arnas Kačeniauskas, Nikolaj Goranin

“…Generating these tables is computationally intensive, and several researchers have proposed utilizing parallel computing to speed up the generation process. …”
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Big data technology for teaching quality monitoring and improvement in higher education - joint K-means clustering algorithm and Apriori algorithm by Yang Li, Haiyu Zhang

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Development of an artificial intelligence model for wire electrical discharge machining of Inconel 625 in biomedical applications by Pasupuleti Thejasree, Natarajan Manikandan, Neeraj Sunheriya, Jayant Giri, Rajkumar Chadge, T. Sathish, Ajay Kumar, Muhammad Imam Ammarullah

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Fast Context Adaptation in Cost-Aware Continual Learning by Seyyidahmed Lahmer, Federico Mason, Federico Chiariotti, Andrea Zanella

“…However, the increased complexity of 5G and Beyond networks requires correspondingly more complex learning agents and the learning process itself might end up competing with users for communication and computational resources. …”
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A Temporal Attention-Based SARIMA-BiLSTM Residual Learning Model Tuned by Grey Wolf Optimizer for Parallel Urban Traffic Forecasting by Manas Kamal Das, Christopher Columbus Chinnappan, E. Elakiya

“…Furthermore, the entire pipeline is adapted for parallel execution to improve scalability and reduce computational latency, enabling faster processing of large-scale traffic data. …”
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A review of design concerns in superconducting quantum circuits by Eli M Levenson-Falk, Sadman Ahmed Shanto

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An Automated Clubbed Fingers Detection System Based on YOLOv8 and U-Net: A Tool for Early Prediction of Lung and Cardiovascular Diseases by Wen-Shin Hsu, Guan-Tsen Liu, Su-Juan Chen, Si-Yu Wei, Wei-Hsun Wang

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AIoT: a taxonomy, review and future directions by Jiyi WU, Wenjuan LI, Jian CAO, Shiyou QIAN, Qifei ZHANG, Rajkumar BUYYA

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Physics field super-resolution reconstruction via enhanced diffusion model and fourier neural operator by Yanan Guo, Junqiang Song, Xiaoqun Cao, Chuanfeng Zhao, Hongze Leng

“…However, traditional numerical methods often entail high computational costs, involve complex data processing, and struggle to capture fine-scale high-frequency details. …”
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Gait Perception via Actual and Estimated Pneumatic Physical Reservoir Output by Junyi Shen, Tetsuro Miyazaki, Swaninda Ghosh, Toshihiro Kawase, Kenji Kawashima

“…Traditional approaches to gait perception—such as estimating joint angles and walking conditions—often rely on electronic sensors and neural networks, which can compromise wearability and impose high computational demands. Physical reservoir computing (PRC), which utilizes the inherent nonlinearity of physical systems for data processing, offers a promising alternative. …”
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Quantum classical hybrid convolutional neural networks for breast cancer diagnosis by Qiuyu Xiang, Dongfen Li, Zhikang Hu, Yuhang Yuan, Yuchen Sun, Yonghao Zhu, You Fu, Yangyang Jiang, Xiaoyu Hua

“…To address these issues, this paper adds a quantum convolutional layer to the classical convolutional neural network to take advantage of quantum computing to improve learning efficiency and processing speed. …”
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Design and evaluation of clock-gating-based approximate multiplier for error-tolerant applications by Venkata Sudhakar Chowdam, Suresh Babu Potladurty, Prasad Reddy karipireddy

“…Although approximation arithmetic affects the output accuracy in multipliers, it offers a realistic avenue for constructing power-, area--, and speed-efficient digital circuits. The approximation computing technique is commonly used in error-tolerant applications such as signal, image, and video processing. …”
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Intelligent deep learning for human activity recognition in individuals with disabilities using sensor based IoT and edge cloud continuum by Mohammed Maray

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