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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Development of algorithms and software for classification of nucleotide sequences by V. R. Zakirava, D. A. Syrakvash, S. V. Hileuski, P. V. Nazarov, M. M. Yatskou

“…The most informative features of vectorization models were determined using feature selection and classification algorithms based on the random forests and support vector machine methods. The difference between coding and non-coding fragments of nucleotide sequences was established. …”
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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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Efficient Management of Safety Documents Using Text-Based Analytics to Extract Safety Attributes From Construction Accident Reports by Vedat Togan, Fatemeh Mostofi, Onur Behzat Tokdemir, Fethi Kadioglu

“…The time-intensive extraction of insights from textual safety documents using conventional methods causes delays and inaccuracies, hindering proactive incident prevention in construction projects. …”
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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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Using BLE Signals to Estimate Objective and Subjective Crowdedness Levels on Fixed-Route Buses by Takumi Ikenaga, Yuki Matsuda, Ippei Goto, Kentaro Ueda, Hirohiko Suwa, Keiichi Yasumoto

“…The number of passenger BD addresses, along with their differences and rates of change, are used as features to estimate the number of passengers and the subjective crowdedness level using machine learning models. An experiment to evaluate the BLE method produced an accuracy of 0.653 for the objective crowdedness level (number of passengers) and 0.513 for the subjective crowdedness level, indicating that BLE signal information can capture the general trend of objective and subjective crowdedness.…”
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Discrimination of Customers Decision-Making in a Like/Dislike Shopping Activity Based on Genders: A Neuromarketing Study by Atefe Hassani, Amin Hekmatmanesh, Ali Motie Nasrabadi

“…In the algorithm, the EEG signals were denoised by using artifact subspace reconstruction and independent component analysis methods. The Wavelet technique is then applied to attain five EEG frequency bands and, subsequently linear and nonlinear features were extracted. …”
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Digital Wireless Technology to Measure Agricultural Performance by V. F. Fedorenko, V. E. Tarkivskiy

“…(Research purpose) To develop methods and create wireless digital devices for determining the functional indicators of agricultural tractors and machines with the ability to wirelessly transmit data to a remote control point in real time. …”
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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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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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Voice as a biomarker: exploratory analysis for benign and malignant vocal fold lesions by Phillip Jenkins, Rylan Harrison, Steven Bedrick, Lisa Karstens, Bridge2AI-Voice Consortium, William Hersh, Yael Bensoussan, Olivier Elemento, Anais Rameau, Alexandros Sigaras, Satrajit Ghosh, Maria Powell, Vardit Ravitsky, Jean Christophe Belisle-Pipon, David Dorr, Phillip Payne, Alistair Johnson, Ruth Bahr, Donald Bolser, Frank Rudzicz, Jordan Lerner-Ellis, Kathy Jenkins, Shaheen Awan, Micah Boyer, William Hersh, Andrea Krussel, Steven Bedrick, Toufeeq Ahmed Syed, Jamie Toghranegar, James Anibal, Duncan Sutherland, Enrique Diaz-Ocampo, Elizabeth Silberhoz, John Costello, Alexander Gelbard, Kimberly Vinson, Tempestt Neal, Lochana Jayachandran, Evan Ng, Selina Casalino, Yassmeen Abdel-Aty, Karim Hanna, Theresa Zesiewicz, Elijah Moothedan, Emily Evangelista, Samantha Salvi Cruz, Robin Zhao, Mohamed Ebraheem, Karlee Newberry, Iris De Santiago, Ellie Eiseman, JM Rahman, Stacy Jo, Anna Goldenberg

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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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Neural Network-Based Optimization for Bandwidth Enhancement of Millimeter-Wave Franklin Antenna With Proximity-Coupled Feed by Ahmad Firdausi, Eko Setijadi, Gamantyo Hendrantoro, Mudrik Alaydrus

“…The antenna performance evaluation comprises of a comprehensive technique that combines simulation, measurement, and development of R-L-C equivalent circuit models, as well as the application of machine learning methods. The HFSS-based simulation was conducted in the frequency range of 20-36 GHz, which was validated through measurement. …”
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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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EnsembleXAI-Motor: A Lightweight Framework for Fault Classification in Electric Vehicle Drive Motors Using Feature Selection, Ensemble Learning, and Explainable AI by Md. Ehsanul Haque, Mahe Zabin, Jia Uddin

“…These techniques were applied to a dataset of 40,040 data entries that had been simulated by a Variable Frequency Drive (VFD) model. We evaluated eight machine learning models, and our proposed Soft Voting Classifier has the highest test accuracy of 94.52% and a Kappa score of 0.9210 on diagnostic performance. …”
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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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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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Application of Protein Structure Encodings and Sequence Embeddings for Transporter Substrate Prediction by Andreas Denger, Volkhard Helms

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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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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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