Energy-efficient synchronization for body sensor network in the metaverse: an optimized connectivity approach by Altaf Hussain, Tariq Hussain, Razaz Waheeb Attar, Ahmed Alhomoud, Mrim M. Alnfiai, Reem Alsagri

“…Furthermore, it leverages multi-path communication strategies to optimize energy efficiency and extend the operational life span of the network. …”
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Enhancing dysarthria severity classification: efficient audio based deep learning models by Varsha J Varma, Aniruddha Jana, Arpan Kumar Samal, Aurobindo S, Rani Chinnappa Naidu, Somaya Al-Maadeed, Moutaz Saleh, Rajesh Kumar M, Prakash Ramachandran, Zachariah C Alex, Rajeev Khoodeeram

“…Moreover, the problem statement focuses on the difficulty of exactly spotting dysarthria and assessing its degree of severity using traditional methods, which usually lack precision and efficiency. This work presents a new method combining advanced acoustic feature extraction techniques, such Mel-frequency cepstral coefficients (MFCC) and spectrogram analysis, with state-of- the-art neural network and its hybrid architectures such convolutional neural networks (CNNs), long- and short-term memory (LSTM) with CNN, and gated recurrent unit (GRU) combined with CNN. …”
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Development of an IoT-based firefighting drone for enhanced safety and efficiency in fire suppression by Nusrat Jahan, Tawab Bin Maleque Niloy, Jannatul Fahima Silvi, Mahdi Hasan, Ishrat Jahan Nashia, Riasat Khan

“…The proposed device is constructed from an ultra-strength S500 Quadcopter frame, NodeMCU, Arduino Nano, various gas sensors, a servo motor to extinguish the fire and a camera to detect fire events in real time. Equipped with an FPV camera and a video transmitter, it transmits live video feed to the ground, enabling efficient navigation using the Flysky I6X controller. …”
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Parameter efficient multi-model vision assistant for polymer solvation behaviour inference by Zheng Jie Liew, Ziad Elkhaiary, Alexei A. Lapkin

“…Abstract Polymer–solvent systems exhibit complex solvation behaviours encompassing a diverse range of phenomena, including swelling, gelation, and dispersion. …”
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MMLT: Efficient object tracking through machine learning-based meta-learning by Bibek Das, Asfak Ali, Suvojit Acharjee, Jaroslav Frnda, Sheli Sinha Chaudhuri

“…In contrast, traditional machine learning and classical computer vision methods like Kernelized Correlation Filters (KCF), Tracking, Learning, and Detection (TLD), and Bootstrap Aggregating (BOOSTING), lacks reliability in performance.This paper introduces a machine learning-based approach to one-shot meta-learning for more efficient object tracking. …”
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Contrastive learning of cross-modal information enhancement for multimodal fake news detection by Weijie Chen, Fei Cai, Yupu Guo, Zhiqiang Pan, Wanyu Chen, Yijia Zhang

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Optimizing etiological diagnostics and improving the efficiency of treating centralized infectious corneal ulcers by V. V. Neroev, O. S. Slepova, L. A. Kovaleva, G. I. Krichevskaya

“…The effectiveness of complex antiherpetic drug therapy supports this conclusion. …”
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Reinforcement learning for an efficient and effective malware investigation during cyber incident response by Dipo Dunsin, Mohamed Chahine Ghanem, Karim Ouazzane, Vassil Vassilev

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Implementation of YOLOv7 Model for Human Detection in Difficult Conditions by Arijal B, Andi Sunyoto, M. Hanafi

“…The three YOLOv7 models tested in this study are YOLOv7x.pt, YOLOv7-w6-person.pt, and YOLOv7-w6-pose.pt. These models were selected based on their excellence in detecting human objects and their relevance for complex scenarios. …”
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Plant Disease Detection Using an Innovative Swin-Axial Transformer by Ao Zhang, Wei Liu

“…Plant diseases are a significant threat to global agricultural production, and accurate and efficient disease detection is crucial for ensuring food security. …”
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A streamlined POCT solution for rapid infectious disease detection by Yaping Xie, Yan Yu, Shuaiwu Huang, Liangcheng Wan, Chang Wu, Chiwei Yin, Jianjun Li, Jiangang Ling, Lizhong Dai

“…Abstract Point-of-care testing (POCT) plays a crucial role in infectious disease screening due to its rapid detection and portability. However, current POCT systems face challenges such as lengthy sample preparation time, complex nucleic acid extraction, and limited real-time data transmission, extending patient waiting time. …”
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Enhanced U-Net++ for Improved Semantic Segmentation in Landslide Detection by Meng Tang, Yuelin He, Muhammed Aslam, Edore Akpokodje, Syeda Fizzah Jilani

“…Landslide detection and segmentation are critical for disaster risk assessment and management. …”
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MODEL BASED FAULT DETECTION FOR SAFETY MANAGEMENT OF THE INDUSTRIAL PROCESSES by Dumitru POPESCU, Pierre BORNE, Crina TOROUS

“…Detection and diagnosis are important actions offered by the complex automations, that contribute to keeping the exploitation of the process safe. …”
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FalconSign: An Efficient and High-Throughput Hardware Architecture for Falcon Signature Generation by Yi Ouyang, Yihong Zhu, Wenping Zhu, Bohan Yang, Zirui Zhang, Hanning Wang, Qichao Tao, Min Zhu, Shaojun Wei, Leibo Liu

“…Despite its strengths, there has been a lack of research on hardware acceleration, primarily due to its complex calculation flow and floating-point operations, which hinders its widespread adoption. …”
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Underwater Object Detection Algorithm Based on an Improved YOLOv8 by Fubin Zhang, Weiye Cao, Jian Gao, Shubing Liu, Chenyang Li, Kun Song, Hongwei Wang

“…Due to the complexity and diversity of underwater environments, traditional object detection algorithms face challenges in maintaining robustness and detection accuracy when applied underwater. …”
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Building Surface Defect Detection Based on Improved YOLOv8 by Xiaoxia Lin, Yingzhou Meng, Lin Sun, Xiaodong Yang, Chunwei Leng, Yan Li, Zhenyu Niu, Weihao Gong, Xinyue Xiao

“…In intelligent building, efficient surface defect detection is crucial for structural safety and maintenance quality. …”
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Crack Detection on Road Surfaces Based on Improved YOLOv8 by Haiyang Wu, Lingyun Kong, Denghui Liu

“…Road defect detection is vital for road maintenance but remains challenging due to the complexity of backgrounds, low resolution, and crack similarity. …”
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Leveraging Deep Learning for Fault Detection and Localization in Distributed Systems by Debolina Ghosh, Jay Prakash Singh

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Advanced Nanoformulations for Detection and Removal of Poly- and Perfluoroalkyl Substances (PFAS) by Jyotish Kumar, Mahesh Narayan

“…The conventional, highly sensitive methods used for PFAS detection are LC-MS/MS and solid phase extraction, but they are very complex and expensive. …”
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An advanced three stage lightweight model for underwater human detection by Zichen Liao, Kai Hu, Yuancheng Meng, Shuai Shen

“…Abstract This study presents StarEye, a lightweight deep learning model designed for underwater human body detection (UHBD) that addresses the challenges of complex underwater environments. …”
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