Stroke Lesion Prediction by Bille-Viper-Segmentation with Tandem-MU-net Model by Beevi Fathima, N Santhi Dr, N Ramasamy Dr

“…To solve these issues, Bille-Viper-Segmentation with the Tandem-MU-Net Model is suggested as a solution for tissue damage detection problems. This study improves blood flow detection in stroke images by introducing the Bille-Viper-Segmentation method to overcome difficulties in recognizing tissue injury. …”
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Aphid Species in Citrus Orchards in Crete: Key Vectors of Citrus Tristeza Virus and Automated Monitoring Innovations for Alate Aphids by Matthaios M. Mathioudakis, Kyriaki Varikou, Antonia Karagianni, Panagiota Psirofonia, Nikolaos Tektonidis, Despoina Kapantaidaki, Vasiliki Evangelou, Leonidas Economou, Beata Hasiów-Jaroszewska, Ilyas Potamitis

“…<i>Toxoptera aurantii, Myzus persicae</i>, and <i>A. craccivora</i> were present in low numbers, and <i>A. citricidus</i> was not detected. Due to the absence of CTV detection in aphids and citrus trees from the pilot orchards, a complementary survey was conducted in CTV-infected fields. …”
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Application of K-Nearest Neighbor Classification for Static Webcams Visibility Observation by David Sládek

“…Visibility observations and accurate forecasts are essential in meteorology, requiring a dense network of observation stations. …”
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Predicting tennis match outcomes mid-game using machine learning on psychological and physical data by Boyuan Li, Zihui Deng, Gaurav Gupta, Jinger Li, Yixuan Miao

“…The data source is from Wimbledon and US Open games from 2017 to 2022, a total of 1592 games, and utilize 363 games of 2023 to evaluate their forecasting ability. We first obtained weights through information entropy and defined psychological momentum, and then 3 best classifiers, random forest, CatBoost, and Logistic Regression, were detected to assess the features. …”
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Pemanfaatan Data PDDIKTI sebagai Pendukung Keputusan Manajemen Perguruan Tinggi by Ngatmari Ngatmari, Muhammad Bisri Musthafa, Cahya Rahmad, Rosa Andrie Asmara, Faisal Rahutomo

“…Techniques in providing solutions to these problems are classification techniques to assist decision making, for example Decission Tree (C4.5, ID3, CHAID, rule induction) and forecasting techniques using simple moving average (SMA) methods. …”
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Wear Prediction and Visual Decision Support of Drop Forged Rivetless Chain for Conveyors by Liu Manxian, Xu Zijia, Shen Xujia, Li Xiaodong, Zhang Zhijun, Yang Yi

“…In order to accurately detect, predict and maintain the wear condition of drop forged rivetless chain for conveyors, the methods of wear prediction and active maintenance are developed based on gray model and visual decision support. …”
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Machine learning for predicting earthquake magnitudes in the Central Himalaya by Ram Krishna Tiwari, Rudra Prasad Poudel, Harihar Paudyal

“… Human intervention cannot halt natural disasters like earthquakes, but machine learning application expertise can be utilized to detect patterns in data and increase understanding and predictive power. …”
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THEORY AND PRACTICE OF ASSESSING THE LEVEL OF INSTABILITY OF THE EXTERNAL ENVIRONMENT OF THE ENTERPRISE IN A HYBRID WAR by I. Zapukhliak, A. Shegda, О. Mykytiuk, T. Onysenko, K. Petrenko

“…Current trends in the globalization economy, especially in the context of economic crises caused by hybrid war, COVID-19, lead to a constant search for new methods of enterprise management that could ensure its effective functioning. …”
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Translation of single channel electro encephalic signals into limb motion by A.B.R. Lara, Oscar E. Ruiz, L.O. Araujo Junior, F.P. Bhering

“…The advantages of this method are: (a) lower hardware expense and (b) lower computing load. …”
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Assessment of the Scope of Work for Operational Control of Steel Underground Gas Pipelines, Taking Into Account the Organizational and Logistical Factor by N. V. Strutsky, V. N. Romaniuk

“…The forecast is based on the currently relevant time series analysis methods.…”
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Current Advancements in Serum Protein Biomarkers for Hepatitis B Virus‐Associated Hepatocyte Remodeling and Hepatocellular Carcinoma by Adane Adugna, Gashaw Azanaw Amare, Mohammed Jemal

“…One of the main concerns in the perspective of HBV‐induced hepatocyte remodeling and liver cancer is accurately identifying cancer stages to maximize early screening and detection. Biological signatures have a significant impact on solving this problem. …”
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Sensing technology for greenhouse tomato production: A systematic review by Jingxin Yu, Jiang Liu, Congcong Sun, Jiaqi Wang, Jianchao Ci, Jing Jin, Ni Ren, Wengang Zheng, Xiaoming Wei

“…The review covers four key areas: (1) a comprehensive analysis of critical environmental factors influencing tomato growth, such as temperature, humidity, light intensity, and CO2 concentration; (2) an exploration of high-throughput, non-destructive sensing technologies, including chlorophyll fluorescence imaging, infrared CO2 sensing, and multispectral imaging; (3) an investigation of the algorithms based on multi-sensor data fusion and data-driven diagnostic systems for disease detection and growth forecasting; and (4) a discussion on potential research topics in the future to address the limitations of the existing methods. …”
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Online Analysis of Nonlinear Vibration Characteristics of Milling Chatter by WU Shi, WANG Yang-yang, LIU Xian-li, XU Hong, LI Ｒong-yi

“…The characteristics of phase difference and chaotic characteristics can be used as an effective method for the identification of chatter.…”
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Investigating Safe and Economic Adjustment of Power Balance in Smart Grids Based on Integration of Renewable Energy by Hongyan Zhang

“…We will provide management solutions tailored to each detected issue, along with the suggested cures for any recognized concerns. …”
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Analyzing social psychological impact on emotional expression through peer communication using crayfish optimization algorithm with deep learning model by Umkalthoom Alzubaidi

“…The presented SPIEEPC-COADL model aims to develop an effective method for detecting text-based emotional expressions to enhance HCI. …”
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Trackwise Prediction of GNSS-R Delay&#x2013;Doppler Maps With DDM-PredRNN Network by Weichen Sun, Xiaochen Wang, Bing Han, Dongkai Yang

“…Global navigation satellite system reflectometry (GNSS-R) is an emerging Earth observation method that utilizes reflection signals from navigation satellites for remote sensing of physical parameters, particularly in detecting ocean wind speed. …”
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Current state and prospects of implementation of data standardization in the health care system of Ukraine (literature review) by D.Ye. Kaduk, T.M. Aleksandrova, P.S. Talapova, I.B. Agieieva, M.M. Ved, M.O. Trofymenko, M.R. Kolesnyk, T.S. Nesmiian

“…Quality implementation of the standardization program is a leading factor in the improvement of the quality of medical services, such as: early detection of diseases and emergencies, setting new therapeutic goals, improving the quality of clinical trials, improving of assessment of the quality of medical services and work of the doctors and nursing staff, improving the efficiency of health care programs, improving the safety of use of medical devices, forecasting medical consequences, reducing administrative costs, integrating artificial intelligence into the healthcare system, etc.…”
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Advancement in Graph Neural Networks for EEG Signal Analysis and Application: A Review by S. M. Atoar Rahman, Md Ibrahim Khalil, Hui Zhou, Yu Guo, Ziyun Ding, Xin Gao, Dingguo Zhang

“…The applications of GNNs are summarized in the domains of emotion detection, epilepsy seizure detection, stroke rehabilitation, Alzheimer&#x2019;s disease diagnosis, motor imagery detection, neurological disease diagnosis, major depressive disorder, and driving fatigue detection. …”
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Trends in the development of the ISO 9001 quality management system – a parameter of the logistic function by Grzegorz Kazimierz Rządkowski, Katarzyna Szczepańska

“…The method allows specifying these parameters based on a scalogram - a graph of the Continuous Wavelet Transform (CWT) applied directly to the number of ISO 9001 certificates issued. …”
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Prediction and diagnosis of cardiovascular disease using cloud and machine learning design by K. Babu, A. Gokula Chandar, S. Kannadhasan

“…This is done to improve the process of forecasting patients’ health information. Detecting and categorising cardiac illness can be accomplished through the application of two distinct kinds of machine learning techniques. …”
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