Real-Time Object Detection in Tap Water Utilizing YOLOv8 for Comprehensive Contamination Monitoring by Glajemir E. Bautista, Paula Angelyn D. Gargar, Ramon G. Garcia

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Detecting false messages in vehicular ad hoc networks based on a traffic flow model by Jizhao Liu, Weidong Yang, Junbao Zhang, Changlin Yang

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Graph-Theoretic Based Connectivity Restoration Algorithms for Mobile Sensor Networks by Zhenqiang Mi, Rong-Shue Hsiao, Zenggang Xiong, Yang Yang

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AEFFNet: Attention Enhanced Feature Fusion Network for Small Object Detection in UAV Imagery by Zhaoyu Nian, Wenzhu Yang, Hao Chen

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iSentenizer-μ: Multilingual Sentence Boundary Detection Model by Derek F. Wong, Lidia S. Chao, Xiaodong Zeng

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A Comparative Study of DC and BLDC Actuation for Kinesthetic Haptics by Arjun Ivimey, Majid Pahlevani, Keyvan Hashtrudi-Zaad

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Machine Learning Monitoring Model for Fertilization and Irrigation to Support Sustainable Cassava Production: Systematic Literature Review by Ahmad Chusyairi, Yeni Herdiyeni, Heru Sukoco, Edi Santosa

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Artificial liver classifier: a new alternative to conventional machine learning models by Mahmood A. Jumaah, Yossra H. Ali, Tarik A. Rashid

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Predicting future evapotranspiration based on remote sensing and deep learning by Xin Zheng, Sha Zhang, Shanshan Yang, Jiaojiao Huang, Xianye Meng, Jiahua Zhang, Yun Bai

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Adaptive average arterial pressure control by multi-agent on-policy reinforcement learning by Xiaofeng Hong, Walid Ayadi, Khalid A. Alattas, Ardashir Mohammadzadeh, Mohamad Salimi, Chunwei Zhang

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Understanding of Patients with Severe COVID-19 Using Lung Ultrasound by Seo-Hee Yang, Eun Ju Park, Jung-Hyun Kim, Jin Woo Song, Young-Jae Cho

“…We tracked changes in key LUS findings and applied our proprietary LUS scoring system. To evaluate LUS accuracy, we correlated measured LUS values with computed tomography scores. …”
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DenseNet-FPA: Integrating DenseNet and Flower Pollination Algorithm for Breast Cancer Histopathology Image Classification by Musa Adamu Wakili, Harisu Abdullahi Shehu, Mahdi Abdollahi, Badamasi Imam Ya'u, Md Haidar Sharif, Huseyin Kusetogullari

“…DenseNet effectively extracts hierarchical features, while FPA optimizes the selection of the most discriminative features, improving classification accuracy and reducing computational overhead. We evaluated our approach on two publicly available datasets, i.e. …”
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DecoStrat: Leveraging the Capabilities of Language Models in D2T Generation via Decoding Framework by Elias Lemuye Jimale, Wenyu Chen, Mugahed A. Al-antari, Yeong Hyeon Gu, Victor Kwaku Agbesi, Wasif Feroze

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Fault Type Classification in the Presence of Inverter-Based Resources: Review, Challenges, and Future Works by Mohammad Mehdi Mobashsher, Seyyed Mehdi Hosseini, Ali Akbar Abdoos, Sayyed Mohammad Hashemi, Majid Sanaye-Pasand, Maher Azzouz

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SambaMixer: State of Health Prediction of Li-Ion Batteries Using Mamba State Space Models by Jose Ignacio Olalde-Verano, Sascha Kirch, Clara Perez-Molina, Sergio Martin

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Modified stereotactic neurosurgery techniques for rodent surgery enhance survival and reduce surgery time in a severe traumatic brain injury model by Pongsakorn Wechakarn, Sumeth Klomchitcharoen, Tirapoot Jatupornpoonsub, Nantawachara Jirakittayakorn, Chanon Puttanawarut, Wanlop Likitsuntonwong, Khuanjit Chaimongkolnukul, Yodchanan Wongsawat

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YOLO-SRMX: A Lightweight Model for Real-Time Object Detection on Unmanned Aerial Vehicles by Shimin Weng, Han Wang, Jiashu Wang, Changming Xu, Ende Zhang

“…Consequently, this approach enhances the model’s localization accuracy for small targets in complex scenes. Experimental evaluations on the HIT-UAV dataset corroborate that YOLO-SRMX achieves an <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>mAP</mi><mn>50</mn></msub></semantics></math></inline-formula> of 82.8%, representing a 7.81% improvement over the baseline YOLOv8s model; an F1 score of 80%, marking a 3.9% increase; and a substantial 65.3% reduction in computational cost (GFLOPs). …”
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Enhanced Magnetic Resonance Imaging-Based Brain Tumor Classification with a Hybrid Swin Transformer and ResNet50V2 Model by Abeer Fayez Al Bataineh, Khalid M. O. Nahar, Hayel Khafajeh, Ghassan Samara, Raed Alazaidah, Ahmad Nasayreh, Ayah Bashkami, Hasan Gharaibeh, Waed Dawaghreh

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Investigating Tree Family Machine Learning Techniques for a Predictive System to Unveil Software Defects by Rashid Naseem, Bilal Khan, Arshad Ahmad, Ahmad Almogren, Saima Jabeen, Bashir Hayat, Muhammad Arif Shah

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Enhanced Pneumonia Detection from Chest X-rays Using Machine Learning and Deep Neural Architectures by Kamal Upreti, Anju Singh, Divakar Singh, Preety Shoran, Uma Shankar, Meenakshi Yadav, Rituraj Jain

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