Customer active power consumption prediction for the next day based on historical profile by Ahmad A. Goudah, Mohamed El-Habrouk, Dieter Schramm, Yasser G. Dessouky

“…Calculating probabilities of being in each level (node) is also covered. Logistic Regression Algorithm is used to determine the most probable nodes for the next 25 hours in case of residential or industrial customers.…”
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An Explicit Investigation in Demand Side Management Based on Artificial Intelligence Techniques by Md. Abul Kalam, Abhinav Saxena, Md. Zahid Hassnain, Amit Kumar Dash, Jay Singh, Gyanendra Kumar Singh

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Bi-Level Energy Dispatch Optimisation for Peak Load Shaving in Microgrids with Battery Storage by Mohd Fakhizan Romlie, Abid Ali, GM Shafiullah

“…Considering the reduction in power losses as a primary objective function, the genetic algorithm (GA) is used to solve the optimisation problem for three time-varying load profiles (industrial, residential, and commercial) using an IEEE 33 bus microgrids network. …”
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Implementation of a clinical pathway for diabetes‐related foot ulcers reduced the number of amputations and shortened hospital stay by Monica Sailer, Hilde Wergeland, Per‐Henrik Randsborg

“…Discontinuing NPWT after surgical debridement did not adversely affect clinical outcomes. The new pathway also contributed to lower healthcare costs.…”
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Particle Swarm Optimization Based Optimal Design of Six-Phase Induction Motor for Electric Propulsion of Submarines by Lelisa Wogi, Amruth Thelkar, Tesfabirhan Shoga Tahiro, Tadele Ayana, Shabana Urooj, Samia Larguech

“…This research presented a comparison of optimal model design of a six phase squirrel cage induction motor (IM) for electric propulsion by using Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). …”
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Automated Pathologic TN Classification Prediction and Rationale Generation From Lung Cancer Surgical Pathology Reports Using a Large Language Model Fine-Tuned With Chain-of-Thought... by Sanghwan Kim, Sowon Jang, Borham Kim, Leonard Sunwoo, Seok Kim, Jin-Haeng Chung, Sejin Nam, Hyeongmin Cho, Donghyoung Lee, Keehyuck Lee, Sooyoung Yoo

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Using artificial intelligence methods for the optimal synthesis of reversible networks by Taras Kyryliuk, Mykhailo Palahuta, Vitaly Deibuk

“…The study focuses on the application of evolutionary artificial intelligence algorithms, specifically genetic algorithms and ant colony optimization algorithms, for the optimal synthesis of reversible circuits. …”
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Prediction of lithium-ion battery SOC based on IGA-GRU and the fusion of multi-head attention mechanism by Pei Tang, Minnan Jiang, Weikai Xu, Zhengyu Ding, Mao Lv

“…The model also incorporates a multi-attention mechanism to capture different levels of information, which enhances the expressive power of the model. …”
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Predictive models for overall health of hydroelectric equipment based on multi-measurement point output by Liu Dong, Kong Lijun, Song Jinghui, Zhou Yiming

“…This article used sequential Bayesian method (SBM), hypersphere algorithm, and long short-term memory (LSTM) network to construct a prediction model. …”
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Optimizing Defect Detection on Glossy and Curved Surfaces Using Deep Learning and Advanced Imaging Systems by Joung-Hwan Yoon, Chibuzo Nwabufo Okwuosa, Nnamdi Chukwunweike Aronwora, Jang-Wook Hur

“…Image fault detection and classification have also been implemented industrially for product defect detection, as well as for maintaining standards and optimizing processes using AI. …”
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A Framework for Symmetric-Quality S3D Video Streaming Services by Juhyeon Lee, Seungjun Lee, Sunghoon Kim, Dongwook Kang

“…This conditional replenishment algorithm (also known as VEI technology) effectively reduces the quality difference between the base layer and enhancement layer videos. …”
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Decision-Level Multi-Sensor Fusion to Improve Limitations of Single-Camera-Based CNN Classification in Precision Farming: Application in Weed Detection by Md. Nazmuzzaman Khan, Adibuzzaman Rahi, Mohammad Al Hasan, Sohel Anwar

“…This algorithm can also detect if a sensor is faulty within an array of sensors and improves the overall classification accuracy by penalizing the evidence from a faulty sensor. …”
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Improving Surgical Site Infection Prediction Using Machine Learning: Addressing Challenges of Highly Imbalanced Data by Salha Al-Ahmari, Farrukh Nadeem

“…We also improved several resampling strategies, such as undersampling and oversampling. …”
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Bridging the Gap Between Machine Learning and Medicine: A Critical Evaluation of the Dworak Regression Grade in Rectal Cancer by Camille Raets, Chaimae El Aisati, Amir L. Rifi, Mark De Ridder, Koen Putman, Johan De Mey, Alexandra Sermeus, Kurt Barbe

“…We examined the impact of grading system subjectivity on the algorithm. Analyzing clinical parameters and medical notes from 85 rectal cancer patients, we identified patients with ambivalent grades, the “gray-zone patients,” and explored the algorithm’s difficulty in predicting their regression grade. …”
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Identification and Evaluation of Profitable Technical Trading Rules in the Cryptocurrency Market: A Mixed Method Approach by Milad Abbasi, Somayeh Al-sadat Mousavi, Abbasali Jafari Nodoushan

“…Moreover, the profitability of the well-known technical trading rules could be significantly improved using the grid search and particle swarm optimization algorithms. Also, trading strategies using the combination of several technical indicators always perform better than trading strategies with a single indicator. …”
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A Fast and High-Accuracy Real-Time Visible Light Positioning System Based on Single LED Lamp With a Beacon by Huaping Li, Hongbin Huang, Yongze Xu, Zhanhang Wei, Sichen Yuan, Puxi Lin, Hao Wu, Wen Lei, Junbin Fang, Zhe Chen

“…Finally, since the proposed algorithms have the advantages of high accuracy and low complexity, the proposed system can also be implemented on a low-end hardware platform. …”
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AML-DECODER: Advanced Machine Learning for HD-sEMG Signal Classification—Decoding Lateral Epicondylitis in Forearm Muscles by Mehdi Shirzadi, Mónica Rojas Martínez, Joan Francesc Alonso, Leidy Yanet Serna, Joaquim Chaler, Miguel Angel Mañanas, Hamid Reza Marateb

“…Background: Innovative algorithms for wearable devices and garments are critical for diagnosing and monitoring disease (such as lateral epicondylitis (LE)) progression. …”
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Time-series forest age estimation in Xinjiang based on forest disturbance and recovery detection by Lili Zhai, Mei Zan, Mao Ye, Jia Zhou, Cong Xue, Shunfa Yang, Yuntong Liu

“…Utilizing Landsat Time Series Stacked (LTSS) Data from 1991 to 2022, the LandTrendr(LT) algorithm was applied to identify forest disturbance and recovery events from 1992 to 2022 using the Google Earth Engine (GEE) platform. …”
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Strategies for population-level identification of post-acute sequelae of COVID-19 through health administrative data by Cristina Mazzali, Pietro Magnoni, Alberto Zucchi, Giovanni Maifredi, Luca Cavalieri d’Oro, Maria Letizia Gambino, Anna Clara Fanetti, Pietro Giovanni Perotti, Marco Villa, Maria Grazia Valsecchi, Daria Vigani, Claudio Lucifora, Antonio Giampiero Russo

“…Two studies also addressed the onset of specific symptoms. Cardio/cerebrovascular conditions were most studied, with significant associations reported for deep vein thrombosis, heart failure, atrial fibrillation, and coronary artery disease. …”
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Effectiveness of introducing pulse oximetry and clinical decision support algorithms for the management of sick children in primary care in Kenya and Senegal on referral and antibi... by Hélène Langet, Papa Moctar Faye, Francis Njiri, Silvia Cicconi, Gillian A. Levine, Tracy R. Glass, Rose J. Kosgei, Kevin Ngari, Fabian Schaer, Aliou Thiongane, Jean Augustin Diégane Tine, Maymouna Ba, Leah F. Bohle, Mira Emmanuel-Fabula, Mouhamadou Mansour Faye, Susan Horton, Andolo Miheso, Mercy Mugo, Mariah Ngutu, Michael Ruffo, Janet Shauri, Ndèye Marème Sougou, Valérie D’Acremont, Kaspar Wyss, Ousmane Ndiaye, Fenella Beynon

“…Pulse oximetry and digital Clinical Decision Support Algorithms (CDSAs) can strengthen the detection and management of severe childhood illnesses, and support antibiotic stewardship in primary care, but lack evidence for scale-up. …”
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