Capacity Optimization and Location of BESS-SC Hybrid System for Grid Inertia Support With High Wind Power Penetration by Shami Ahmad Assery, Nan Chen, Xiao-Ping Zhang

“…The proposed sizing and locating strategies for the BESS-SC hybrid system are demonstrated on the modified Kundur 4-Machine 2-Area system using MATLAB/Simulink. The effectiveness and feasibility of the proposed sizing and locating approaches are verified in three case studies, showing notable enhancements in the RoCoF and frequency nadir using the proposed sizing and locating strategies for the BESS-SC hybrid system.…”
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Navigating next-gen nutrition care using artificial intelligence-assisted dietary assessment tools—a scoping review of potential applications by Anuja Phalle, Devaki Gokhale

“…These functionalities capture the dietary data regarding the type of food or beverage consumed, calorie intake, portion sizes, frequency of eating, and shared eating occasions as real-time data making it more accurate as against conventional dietary assessment methods. …”
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RF-Based Sensing and AI Decision Support for Stroke Patient Monitoring: A Digital Twin Approach by Sagheer Khan, Usman Anwar, Aftab Khan, Tughrul Arslan

“…This article presents a novel Radio Frequency (RF) sensing and Artificial Intelligence (AI) based Digital Twin (DT) model for effective detection of stroke. …”
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An improved deep learning model for soybean future price prediction with hybrid data preprocessing strategy by Dingya CHEN, Hui LIU, Yanfei LI, Zhu DUAN

“…In the data preprocessing stage, futures price series are decomposed into subsequences using the ICEEMDAN (improved complete ensemble empirical mode decomposition with adaptive noise) method. The Lempel-Ziv complexity determination method was then used to identify and reconstruct high-frequency subsequences. …”
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Geographic origin discrimination and quantification of phenolic compounds and moisture in Artemisia argyi folium using NIRS and chemometrics by Lifei Hu, Yifan Wang, Xin Wu, Yuanyuan Shan, Fengxiao Zhu, Fan Zhang, Qiang Yang, Mingxing Liu

“…Multivariate statistical analysis (four methods) and six machine learning algorithms were employed for origin discrimination. …”
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Noise Calculation Technique Using Time Varying Model by Saber Izadpanah Tous, Mahmoud Behroozi, Ehsan Kargaran, Hooman Nabovati

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Enhanced Online Continuous Brain-Control by Deep Learning-Based EEG Decoding by Jiaheng Wang, Lin Yao, Yueming Wang

“…Objective: A growing amount of deep learning models for motor imagery (MI) decoding from electroencephalogram (EEG) have demonstrated their superiority over traditional machine learning approaches in offline dataset analysis. …”
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Human motion state recognition based on smart phone built-in sensor by Xiaoling YIN, Xiaojiang CHEN, Qishou XIA, Juan HE, Pengyan ZHANG, Feng CHEN

“…To solve problems of low accuracy and fewer types of human motion state recognized by current smart phones,a method to do hierarchical recognition by using acceleration sensors and gravity sensors was proposed.Firstly,linear acceleration in inertial coordinate system and independent of phone direction was calculated by using the relation between acceleration and gravity acceleration.Secondly,according to the span of human motion frequency and linear acceleration vector,positions of peak and trough of footsteps were determined.Finally,feature vector of linear acceleration in time domain was extracted and human motion states were recognized hierarchically by using hierarchical support vector machine (H-SVM).The experiment shows the method can recognize six usual human motion states,while accuracy rate up to 93.37%.…”
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Human motion state recognition based on smart phone built-in sensor by Xiaoling YIN, Xiaojiang CHEN, Qishou XIA, Juan HE, Pengyan ZHANG, Feng CHEN

“…To solve problems of low accuracy and fewer types of human motion state recognized by current smart phones,a method to do hierarchical recognition by using acceleration sensors and gravity sensors was proposed.Firstly,linear acceleration in inertial coordinate system and independent of phone direction was calculated by using the relation between acceleration and gravity acceleration.Secondly,according to the span of human motion frequency and linear acceleration vector,positions of peak and trough of footsteps were determined.Finally,feature vector of linear acceleration in time domain was extracted and human motion states were recognized hierarchically by using hierarchical support vector machine (H-SVM).The experiment shows the method can recognize six usual human motion states,while accuracy rate up to 93.37%.…”
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Application of Remote Sensing Floodplain Vegetation Data in a Dynamic Roughness Distributed Runoff Model by Andre A. Fortes, Masakazu Hashimoto, Keiko Udo

“…This study proposes a machine learning method to obtain key vegetation parameters at a resolution of 10 m. …”
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Método para definição de layout em sistemas job-shop baseado em dados históricos Historical data-based job-shop layout systems definition method by Maurício Tomelin, João Carlos Colmenero

“…The links were submitted to a mathematical model to determine the position of resources in the layout. The method developed was applied to a machining company with a job-shop profile. …”
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Enhancing FMCW Radar Gesture Classification With Physically Interpretable Data Augmentation by Alessandra Fusco, Zain Amir Zaman, Souvik Hazra, Lorenzo Servadei, Robert Wille

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Application of Protein Structure Encodings and Sequence Embeddings for Transporter Substrate Prediction by Andreas Denger, Volkhard Helms

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Neural Network-Based Temporal Ensembling of Water Depth Estimates Derived from SuperDove Images by Milad Niroumand-Jadidi, Carl J. Legleiter, Francesca Bovolo

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High-accuracy lung sound classification for healthy versus unhealthy diagnosis using artificial neural network by Weiwei Zhang, Xinyu Li, Qiao Liu, Xiangyang Zheng, Yisu Ge, Xiaotian Pan, Xiaotian Pan, Yu Zhou

“…IntroductionIn recent years, advancements in machine learning and electronic stethoscope technology have enabled high-precision recording and analysis of lung sounds, significantly enhancing pulmonary disease diagnosis.MethodsThis study presents a comprehensive approach to classify lung sounds into healthy and unhealthy categories using a dataset collected from 112 subjects, comprising 35 healthy individuals and 77 patients with various pulmonary conditions, such as asthma, heart failure, pneumonia, bronchitis, pleural effusion, lung fibrosis, and chronic obstructive pulmonary disease (COPD), grouped as unhealthy. …”
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An improved synergistic dual-layer feature selection algorithm with two type classifier for efficient intrusion detection in IoT environment by G Logeswari, K Thangaramya, M Selvi, J. Deepika Roselind

“…A robust feature selection subsystem, employing Synergistic Dual-Layer Feature Selection (SDFC) algorithm, combines statistical methods, such as mutual information and variance thresholding, with advanced model-based techniques, including Support Vector Machine (SVM) with Recursive Feature Elimination (RFE) and Particle Swarm Optimization (PSO) are employed to identify the most relevant features. …”
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Designing Microservices Using AI: A Systematic Literature Review by Daniel Narváez, Nicolas Battaglia, Alejandro Fernández, Gustavo Rossi

“…To address these issues, artificial intelligence (AI) techniques, such as machine learning (ML) and natural language processing (NLP), have been applied with increasing frequency to automate and enhance the design process. …”
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International Transportation Mode Selection through Total Logistics Cost-Based Intelligent Approach by Rushikesh A. Patil, Abhishek D. Patange, Sujit S. Pardeshi

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Determination of the state and functioning of the equipment of rod well pumping units in the operation process by the parameters of the wattmetrogram by V. A. Manakhov, A. N. Tsvetkov

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Control of an autonomous wind energy conversion system based on doubly fed induction generator supplying a non-linear load by M. L’Hadj Said, M. Ali Moussa, T. Bessaad

“…For this purpose, to reduce this harmonic, the proposed solution is the installation of a LC filter. Methods. The DFIG is controlled to provide a constant voltage in amplitude and frequency independently of the grid load or the drive turbine speed. …”
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