Full genome virus detection in fecal samples using sensitive nucleic acid preparation, deep sequencing, and a novel iterative sequence classification algorithm. by Matthew Cotten, Bas Oude Munnink, Marta Canuti, Martin Deijs, Simon J Watson, Paul Kellam, Lia van der Hoek

“…We have developed a full genome virus detection process that combines sensitive nucleic acid preparation optimised for virus identification in fecal material with Illumina MiSeq sequencing and a novel post-sequencing virus identification algorithm. …”
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Detection of Water Surface Using Canny and Otsu Threshold Methods with Machine Learning Algorithms on Google Earth Engine: A Case Study of Lake Van by Pinar Karakus

“…Utilizing the Canny edge detection algorithm and Otsu threshold detection approaches yielded favorable outcomes in accurately identifying water surfaces. …”
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Machine Learning-Based Image Pattern Recognition Using Histogram of Oriented Gradient for Islanding Detection by Kumaresh Pal, Kumari Namrata, Ashok Kumar Akella, Manoj Gupta, Pannee Suanpang, Aziz Nanthaamornphong

“…Numerical results show that our image-based detector achieves faster detection times and higher detection accuracy versus state-of-art methods, thus confirming the validity of such approach for identifying islanding events.…”
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Sinkhole attack detection based on fusion of ACO and P2P trust model in WSN by Wumaier HENIGULI

“…For the Sinkhole attack problem of wireless sensor network（WSN），a detection algorithm based on fusion of ant colony optimization（ACO）and P2P trust model was proposed.Firstly，ant colony optimization algorithm was used to detect the existence of a Sinkhole attack in route and generate the alarm information of sensor nodes. …”
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Data-driven Detection and Identification of Line Parameters with PMU and Unsynchronized SCADA Measurements in Distribution Grids by Jinping Sun, Qifang Chen, Mingchao Xia

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Sinkhole attack detection based on fusion of ACO and P2P trust model in WSN by Wumaier HENIGULI

“…For the Sinkhole attack problem of wireless sensor network（WSN），a detection algorithm based on fusion of ant colony optimization（ACO）and P2P trust model was proposed.Firstly，ant colony optimization algorithm was used to detect the existence of a Sinkhole attack in route and generate the alarm information of sensor nodes. …”
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Early Detection of Alzheimer’s Disease via Machine Learning-Based Microwave Sensing: An Experimental Validation by Leonardo Cardinali, Valeria Mariano, David O. Rodriguez-Duarte, Jorge A. Tobón Vasquez, Rosa Scapaticci, Lorenzo Crocco, Francesca Vipiana

“…The early diagnosis of Alzheimer’s disease remains an unmet medical need due to the cost and invasiveness of current methods. Early detection would ensure a higher quality of life for patients, enabling timely and suitable treatment. …”
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Active Touch Sensing for Robust Hole Detection in Assembly Tasks by Bojan Nemec, Mihael Simonič, Aleš Ude

“…Unlike general object detection algorithms, our solution is tailored for precise localization of features like hole openings using sparse tactile feedback. …”
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Anomaly Detection Using Machine Learning in Hydrochemical Data From Hot Springs: Implications for Earthquake Prediction by Ruijie Zhu, Fengtian Yang, Xiaocheng Zhou, Jiao Tian, Yongxian Zhang, Miao He, Jingchao Li, Jinyuan Dong, Ying Li

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A Novel Transformer-Based Multiscale Siamese Framework for High-Resolution Remote Sensing Change Detection by Liangjun Wang, Weitao Chen, Haoyi Wang, Zhengchao Chen

Subjects: “…Algorithms…”
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ECDSA-based tamper detection in medical data using a watermarking technique by Rupa Ch, Naga Vivek K, Gautam Srivastava, Reddy Gadekallu

“…This method utilizes the Secure Hash Algorithm (SHA-256) to first segment the brain's Region of Interest (RoI). …”
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Rapid detection method for pork freshness using fusion spectroscopy and improved BAS-LSSVM by WANG Yao, REN Xiaozhen

“…ObjectiveTo realize accurate, rapid, and non-destructive testing of meat freshness.MethodsExtracting spectral feature information based on a spectral acquisition system, proposed a fast non-destructive detection method for meat freshness (TVB-N) by combining an improved beetle whisker search algorithm with least squares support vector machine. …”
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Target detection technology of coal mine wheeled robot combining improved CNN and self attention mechanism by Junfei TANG, Hailong XING, Su LI, Taotao ZHANG, Heng LIU, Shiyu YAO

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Research on Multi-Task BEV Perception Algorithm Based on LiDAR for Autonomous-Rail Rapid Trams by YAO Gang, LONG Teng, LI Cheng, YUAN Xiwen, LI Peijie, WANG Yuyi

“…Compared with LiDAR perception systems, visual perception algorithms are limited in distance detection accuracies and are sensitive to ambient lighting conditions. …”
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The Application of PSO in Structural Damage Detection: An Analysis of the Previously Released Publications (2005–2020) by Parsa Ghannadi, Seyed Sina Kourehli, Seyedali Mirjalili

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RF-SFAD: A RANDOM FOREST MODEL FOR SELECTIVE FORWARDING ATTACK DETECTION IN MOBILE WIRELESS SENSOR NETWORKS by N Usha Bhanu, Soubhagya Ranjan Mallick, Sreenivasa Rao Chappidi, K Sangeethalakshmi

Subjects: “…mobile wireless sensor networks, random forest algorithm, selective forwarding attack detection, clustering, feature selection.…”
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Optimizing Heart-Kidney Interaction for Cancer Detection Through Physiological Process Simulation as a Decision Support System by Najmeh Sadat Jaddi, Salwani Abdullah, Zalinda Othman, Yazrina Yahya, Mohd Zakree Ahmad Nazri, Say Leng Goh, Fatemeh Alvankarian, Jafar Alvankarian

Subjects: “…Heart-kidney algorithm…”
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Advanced Deep Learning Approaches in Detection Technologies for Comprehensive Breast Cancer Assessment Based on WSIs: A Systematic Literature Review by Qiaoyi Xu, Afzan Adam, Azizi Abdullah, Nurkhairul Bariyah

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Enhancing Railway Earthquake Early Warning Systems with a Low Computational Cost STA/LTA-Based S-Wave Detection Method by Satoshi Katakami, Naoyasu Iwata

“…To enhance real-time S-wave detection in the railway earthquake early warning (EEW) system, we improved the existing short-term average/long-term average (STA/LTA) algorithm. …”
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Computer-aided diagnosis of Haematologic disorders detection based on spatial feature learning networks using blood cell images by Jamal Alsamri, Hamed Alqahtani, Ali M. Al-Sharafi, Abdulbasit A. Darem, Khalid Nazim, Abdul Sattar, Menwa Alshammeri, Ahmad A. Alzahrani, Marwa Obayya

“…The convolutional neural network and bi-directional gated recurrent unit with attention (CNN-BiGRU-A) method is employed to classify and detect haematologic disorders. Finally, the CADHDD-SFLNHM model implements the pelican optimization algorithm (POA) method to fine-tune the hyperparameters involved in the CNN-BiGRU-A method. …”
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