Comparative Study of Statistical Features to Detect the Target Event During Disaster by Madichetty Sreenivasulu, M. Sridevi

“…Therefore, SVM (linear kernel) with proposed features is applied for detecting the earthquake during disaster. The proposed algorithm is tested on Nepal earthquake and landslide datasets, 2015.…”
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Study on the Effect of Soft and Hard Coal Pore Structure on Gas Adsorption Characteristics by Xun Zhao, Tao Feng, Ping Wang, Ze Liao

“…We used box dimension algorithm to measure the fractal dimension and distribution of coal sample microstructure. …”
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Space-based long term condition monitoring of cold region pavement with PS-InSAR by Yusheng Jiang, Xiong Yu

“…Analyses were conducted using 132 ascending and 149 descending C-band InSAR images from the Sentinel-1 satellite. InSAR algorithm based on Persistent scatterers (PS-InSAR) were implemented for data analyses. …”
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Studi Komparasi Naive Bayes, K-Nearest Neighbor, dan Random Forest untuk Prediksi Calon Mahasiswa yang Diterima atau Mundur by Puteri Sejati, Munawar Munawar, Marzuki Pilliang, Habibullah Akbar

“…The results showed that the Random Forest algorithm was the best with an accuracy of 73.61%, compared to K-Nearest Neighbor with an accuracy of 72.08%, and Naive Bayes with an accuracy of 70.47%. …”
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MSVPWM Based-SAPF For Harmonic Mitigation in The Distribution Network Under Unbalanced Condition by Haider Muhamad Husen, Salar Ahmed Qadir

“…In this work, synchronous reference frame (d-q) algorithm is selected to detect the harmonic current components, Proportional-integral (PI) controller is utilized to ameliorate the storage of energy in the dc-link capacitor and the multilevel space vector pulse width modulation (MSVPWM) strategy determines the switching pulses of NPC inverter. …”
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YOLOv7-CWFD for real time detection of bolt defects on transmission lines by Lincong Peng, Kerui Wang, Hao Zhou, Yi Ma, Pengfei Yu

“…These experiments validate the effectiveness of the proposed algorithm.…”
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Federated Learning Based on Kernel Local Differential Privacy and Low Gradient Sampling by Yi Chen, Dan Chen, Niansheng Tang

“…By combining RFFM-KLDP and modified low-gradient sampling technique, we develop a novel and robust federated learning method for classification in the presence of the noisy text data, which can preserve data privacy and largely improve the accuracy of classification algorithm compared to the existing classifiers in terms of the area under curve and classification accuracy. …”
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Domain adaptation-based multistage ensemble learning paradigm for credit risk evaluation by Xiaoming Zhang, Lean Yu, Hang Yin

“…In this methodology, a bagging resampling algorithm is first used to generate a dataset to address data scarcity. …”
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A hybrid human fall detection method based on modified YOLOv8s and AlphaPose by Lei Liu, Yeguo Sun, Yinyin Li, Yihong Liu

“…Secondly, we improve the fall recognition accuracy by introducing a hybrid fall detection algorithm based on human skeletal nodes. Lastly, we build a multi-person fall detection dataset (MPFDD) to test the model’s effectiveness in multi-person scenarios. …”
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Prioritization of Susceptible Watershed to Sediment Yield and Evaluation of Best Management Practice: A Case Study of Awata River, Southern Ethiopia by Temesgen Kefay, Tolera Abdisa, Bekan Chelkeba Tumsa

“…The model’s uncertainty evaluation was carried out on monthly basis using the Sequential Uncertainty Fitting (SUFI-2) algorithm. The performance of the model was evaluated by statistical parameters that gave R2 = 0.76, NSE = 0.75, RSR = 0.51, and PBIAS = 5.6% for calibration and R2 = 0.75, NSE = 0.74, RSR = 0.51, and PBIAS = 2.7% for validation of streamflow. …”
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Optimal Pricing Strategy of Electric Vehicle Charging Station for Promoting Green Behavior Based on Time and Space Dimensions by Xiaomin Xu, Dongxiao Niu, Yan Li, Lijie Sun

“…Finally, the nondominated sorting genetic algorithm (NSGA-II) is introduced to solve the above optimization problems. …”
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Investigation of the application of an automated monitoring system for detecting transmission cable deterioration in Nigeria: A case study of transmission cable lines between Offa... by C.S. Omoniabipi, R. Agbadede, K.C. Emmanuel, O.J. Adewuni, I. Allison

“…Both forward propagation and backpropagation techniques were adopted for training Artificial Neural Networks (ANNs), and the gradient descent with momentum algorithm was employed for optimization. The best classification performance achieved a minimum mean squared error (MSE) of 0.074346 after 24 iterations (epochs) of training, validation, and testing. …”
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THE RELIABILITY OF DETERMINING THE SHORT CIRCUIT ZONE OF THE LINES OF 6–35 kV by F. А. Romaniuk, E. V. Buloichyk, O. A. Huryanchyk, V. S. Kachenya

“…Having taken the relative simpleness of the current protection into account the authors consider the unilateral remote method of accounting the parameters of the emergency mode and the type of fault to be the most suitable for the implementation of the algorithm of its functioning as compared with the existing methods of fault location. …”
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Professionals’ Perspectives of Smart Stationary Bikes in Rehabilitation: Qualitative Study by Julie Soulard, Dahlia Kairy, Roua Walha, Cyril Duclos, Sylvie Nadeau, Claudine Auger

“…Seven main themes emerged: (1) bike functionalities (cycling assistance, asymmetric resistance, and forward and backward cycling), (2) interface between bike and users (simple, user-friendly, personalized, with written reminders during training), (3) feedback to users (user and performance data), (4) training programs (preprogrammed and personalized, and algorithmic programs), (5) user engagement (telerehabilitation, group sessions, music, and automatic suggestion of training), (6) the bike as a physical device (dimensions, comfort, setup, screen, etc), and (7) business model (various pricing strategies, training for professionals, and after-sales service). …”
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Predicting the Birth Delivery Mode: Uncovering the Link Between EHG Topological Features and BMI by Rubana Hoque Chowdhury, Quazi Delwar Hossain, Mohiuddin Ahmad

“…The appropriateness of selected features, contingent upon anthropometric factors, influences the efficacy of algorithm classification in pregnancy monitoring and obstetric outcome forecasting. …”
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FREEDOM OF THE INFORMATION SPACE. IS IT A REALITY OR ILLUSION? by Elena V. Korableva

“…То fit into information flow human should change the way he thinks: develop skills in algorithmic approach to information processing, structured analytical thinking. …”
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Capacity Compensation Price Accounting of Coal-Fired Units Under the Background of New Power System by WANG Yongli, GUO Wenhui, LI Yuyang, GUO Lu, ZHANG Yuze

“…Second， the K-means clustering algorithm was used to determine the probability of power generation of coal-fired units， and a capacity compensation electricity price model considering the fixed cost， capacity subsidy factor， and profit and loss balance point utilization hours was constructed. …”
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In-situ backup virtual sensor application in building automation systems toward virtual sensing-enabled digital twins by Youngwoong Choi, Sungmin Yoon

“…The research findings (1) offer modeling knowledge, industrial guidelines, a decision-making algorithm for appropriate modeling approaches, and insights into how building engineers implement virtual sensors and apply them to real building systems, and (2) demonstrate real-world applications of the virtual sensor-enabled digital twin in building automation systems.…”
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Determining the components of the psychophysical readiness of police officers to use service firearms under martial law conditions by M. O. Borovyk, A. V. Nadutyi, B. P. Lukin

“…In order to solve the research tasks, an analysis of the sources of international and domestic law regulating the use of force, special means, and firearms by the police has been carried out, including the UN Code of Conduct for Law Enforcement Officials, the Declaration on the Police, Basic Principles of the Use of Force and Firearms by Officials on maintaining law and order, the Constitution of Ukraine, the Criminal Code of Ukraine, the Law of Ukraine “On the National Police”, Regulations on the organization of official training of employees of the National Police of Ukraine, Instructions on safety measures when handling weapons, Regulations on the organization of initial professional training of police officers who are first accepted on police service. The algorithm for applying coercive police measures proposed by the UN hs been considered, that is communication – persuasion – physical force – special means – firearms. …”
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Topical Issues of Improving the Activities of Police Commissions of the National Police of Ukraine by K. L. Buhaichuk

“…Based on the analysis of the basic law regulating the activities of the National Police of Ukraine, as well as the regulatory acts of the Ministry of Internal Affairs of Ukraine, propositions were formulated aimed at improving the procedure for the activities of police commissions, in particular regarding: optimization of the system of police commissions, determining the procedure and grounds for creating several commissions in territorial police agencies; improving the procedure for nominating candidates to police commissions from the Minister of Internal Affairs, the Head of the National Police and the Commissioner for Human Rights of Verkhovna Rada of Ukraine; depoliticizing the staff of police commissions; establishing a clear algorithm for the activities of police commissions to determine the priorities of police activities; improving the procedure for conducting interviews with candidates for positions and the procedure for assessing such interviews; establishing administrative responsibility for interfering with the work of police commissions.…”
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