Leveraging time-based spectral data from UAV imagery for enhanced detection of broomrape in sunflower by Guy Atsmon, Anna Brook, Tom Avikasis Cohen, Fadi Kizel, Hanan Eizenberg, Ran Nisim Lati

“…Results showed that the PRNN model, trained on time-series data, achieved an overall accuracy of 84.8 % and a true positive rate of 80.4 % in detecting broomrape infection, emphasizing the strength of utilizing temporal data for enhancing detection accuracies. …”
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Vehicle Detection Based on Multifeature Extraction and Recognition Adopting RBF Neural Network on ADAS System by Xuewen Chen, Huaqing Chen, Huan Xu

“…Test results show that the vehicle detection method based on multifeature extraction and recognition method based on RBF network have stable performance and high recognition accuracy.…”
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A TaqMan Real-Time PCR Assay for Detection and Quantification of Sporisorium scitamineum in Sugarcane by Yachun Su, Shanshan Wang, Jinlong Guo, Bantong Xue, Liping Xu, Youxiong Que

“…Sporisorium scitamineum is a fungal smut pathogen epidemic in sugarcane producing areas. Early detection and proper identification of the smut are an essential requirement in its management practice. …”
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Development and validation of fluoroquinolone detection method in chicken eggs using high-performance liquid chromatography by A. A. Lugovskoy, D. S. Bolshakov, T. B. Nikeshina

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Detecting Subtle Shifts: Comparing SME Performance Drivers Pre and During the Covid-19 Pandemic by Soza Sydney Simango, Helper Zhou

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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

“…Detection of faulty nodes and network energy saving have become the hottest research topics. …”
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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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Novi top 'BISON' kao deo modernizovane švajcarske artiljerije, International defense review, 1990 by M.P.

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