HAD-YOLO: An Accurate and Effective Weed Detection Model Based on Improved YOLOV5 Network by Long Deng, Zhonghua Miao, Xueguan Zhao, Shuo Yang, Yuanyuan Gao, Changyuan Zhai, Chunjiang Zhao

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Reversal of Experimental Liver Damage after Transplantation of Stem-Derived Cells Detected by FTIR Spectroscopy by Danna Ye, Philip Heraud, Rangsun Parnpai, Tong Li

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SerpensGate-YOLOv8: an enhanced YOLOv8 model for accurate plant disease detection by Yongzheng Miao, Yongzheng Miao, Wei Meng, Wei Meng, Xiaoyu Zhou, Xiaoyu Zhou

Subjects: “…plant disease detection…”
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Evaluation of ultrasonography and plethysmography in detecting blood loss and volume replacement in a platelet apheresis model by Kıvanç KARAMAN, Furkan Çağrı OĞUZLAR, Sinan SİTEMBÖLÜKBAŞI, Erşan KAYA

“…Objectives: We planned this study to evaluate the utility of US, PI, and PVI in detecting early-stage hemorrhage and mimicking volume replacement using a platelet apheresis model. …”
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LEDFD: A Low Energy Consumption Distributed Fault Detection Algorithm for Wireless Sensor Networks by Xiaolong Xu, Weijian Geng, Geng Yang, Nik Bessis, Peter Norrington

“…Furthermore, current fault detection algorithms always pursue high detection performance but neglect energy consumption. …”
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Practical Implementation of Federated Learning for Detecting Backdoor Attacks in a Next-word Prediction Model by Jimmy K. W. Wong, Ki Ki Chung, Yuen Wing Lo, Chun Yin Lai, Steve W. Y. Mung

“…Abstract This article details the development of a next-word prediction model utilizing federated learning and introduces a mechanism for detecting backdoor attacks. Federated learning enables multiple devices to collaboratively train a shared model while retaining data locally. …”
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Detection of The TNFSF Members BAFF, APRIL, TWEAK and Their Receptors in Normal Kidney and Renal Cell Carcinomas by Vassiliki Pelekanou, George Notas, Katerina Theodoropoulou, Marilena Kampa, Dimitrios Takos, Vassilia-Ismini Alexaki, Jelena Radojicic, Frank Sofras, Andreas Tsapis, Efstathios N. Stathopoulos, Elias Castanas

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Electrochemical Sensor Based on Carboxymethyl Cellulose-Coated Copper Nanoparticle Composite for Detection of Norfloxacin in Milk by LI Shengnan, HU Minkang, QIN Boyang, YANG Wen, FENG Jun, DU Haijun

“…A highly sensitive electrochemical sensor for the detection of norfloxacin (NFX) was constructed using CMC@Cu/CB composites, which were prepared from carboxymethyl cellulose (CMC)-coated copper nanoparticles (Cu NPs) and carbon black (CB). …”
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A method for detecting abnormal electricity prices at charging stations based on two rounds of clustering by XUE Xiaohui, ZHANG Wen, ZHANG Jing, CHEN Yan, ZHOU Chun, CHEN Liang, CAO Zengwei

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Automatic flood barrier system: An approach for detection and control of storm water overflow during flood by M C Jayaprakash, Krishna Shastri C Sri, Ekaputra Rinaldi

“…Therefore, implementation of an intelligent analysis of drainage leakage detection during flood using sensors are necessitated for the field of research in disaster management. …”
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Covert Network Analysis for Key Player Detection and Event Prediction Using a Hybrid Classifier by Wasi Haider Butt, M. Usman Akram, Shoab A. Khan, Muhammad Younus Javed

“…The proposed system calculates certain centrality measures for each node in the network and then applies novel hybrid classifier for detection of key players. Our system also applies anomaly detection to predict any terrorist activity in order to help law enforcement agencies to destabilize the involved network. …”
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A Study of an Anomaly Detection System for Small Hydropower Data considering Multivariate Time Series by Bo Yang, Zhongliang Lyu, Hua Wei

“…Although many anomaly detection algorithms have been introduced in the data preprocessing stage in various research areas, there is still little research on effective and highly reliable anomaly detection systems for practical applications in small hydropower stations. …”
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Weak Fault Signal Detection of Rotating Machinery Based on Multistable Stochastic Resonance and VMD-AMD by Dongying Han, Xiao Su, Peiming Shi

“…For solving detection problems of multifrequency weak signals in noisy background, a novel weak signal detection method based on variational mode decomposition (VMD) and rescaling frequency-shifted multistable stochastic resonance (RFMSR) with analytical mode decomposition (AMD) is proposed. …”
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Detection and Classification Method for Early-Stage Colorectal Cancer Using Dyadic Wavelet Packet Transform by Daigo Takano, Hajime Omura, Teruya Minamoto

Subjects: “…Colorectal cancer detection…”
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A Lightweight YOLO Model for Rice Panicle Detection in Fields Based on UAV Aerial Images by Zixuan Song, Songtao Ban, Dong Hu, Mengyuan Xu, Tao Yuan, Xiuguo Zheng, Huifeng Sun, Sheng Zhou, Minglu Tian, Linyi Li

Subjects: “…rice panicle detection…”
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Bird flock effect-based dynamic community detection: Unravelling network patterns over time by Siti Haryanti Hairol Anuar, Zuraida Abal Abas, Iskandar Waini, Mohd Fariduddin Mukhtar, Zejun Sun, Eko Arip Winanto, Norhazwani Mohd Yunos

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Former Food Products Safety Evaluation: Computer Vision as an Innovative Approach for the Packaging Remnants Detection by Marco Tretola, Matteo Ottoboni, Ambra Rita Di Rosa, Carlotta Giromini, Eleonora Fusi, Raffaella Rebucci, Francesco Leone, Vittorio Dell’Orto, Vincenzo Chiofalo, Luciano Pinotti

“…Nowadays, artificial senses are widely used for the detection of foreign material in food and all of them involve computer vision. …”
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Research on Fall Detection During Elderly Exercise Activities Under the Background of Healthy China Initiative by Yongsen Liu, Mufan Zhang, Bin Ji

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Non-invasive electron paramagnetic resonance imaging detects tumor redox imbalance induced by ferroptosis by Kazuhiro Kato, Hironobu Yasui, Hideo Sato-Akaba, Miho C. Emoto, Hirotada G. Fujii, Maciej M. Kmiec, Periannan Kuppusamy, Masaki Nagane, Tadashi Yamashita, Osamu Inanami

“…Therefore, redox imaging using EPRI may contribute to the non-invasive detection of ferroptosis in vivo.…”
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Research of Deceptive Review Detection Based on Target Product Identification and Metapath Feature Weight Calculation by Ling Yuan, Dan Li, Shikang Wei, Mingli Wang

“…Existing methods of deceptive review detection did not consider the valid product review sets and classification probability of feature weights. …”
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