Improved Lyrebird optimization for multi microgrid sectionalizing and cost efficient scheduling of distributed generation by Karthik Nagarajan, Arul Rajagopalan, Mohit Bajaj, Valliappan Raju, Vojtech Blazek, Lukas Prokop

“…The algorithm is evaluated under single-objective scenarios (cost and loss minimization) and a multi-objective optimization framework combining both objectives. …”
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Research trends among new investigators at ISOQOL: a bibliometric analysis from 2019 to 2023 by Jae-Yung Kwon, Manraj N. Kaur, Ellen B. M. Elsman, Ava Mehdipour, Lori Suet Hang Lo, Ahmed M. Y. Osman, Sandrine Herbelet, Carrie-Anne Ng, Lotte van der Weijst, on behalf of the New Investigators Special Interest Group Members

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On the Minimum Dataset Requirements for Fine-Tuning an Object Detector for Arable Crop Plant Counting: A Case Study on Maize Seedlings by Samuele Bumbaca, Enrico Borgogno-Mondino

“…We also implemented a handcrafted computer graphics algorithm as baseline. Models were tested with varying training sources (in-domain vs. out-of-distribution data), training dataset sizes (10–150 images), and annotation quality levels (10–100%). …”
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Advances in Data Pre-Processing Methods for Distributed Fiber Optic Strain Sensing by Bertram Richter, Lisa Ulbrich, Max Herbers, Steffen Marx

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Personal air cleaning by a user-tracking robot equipped with a nanofiber air cleaner in a large work space by Chengzhong Deng, Zhuolun Niu, Chun Chen

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Inversion Method for Permitting Loadings of Pollutant from Lateral Effluents Based on Adjoint Equations by SHI Xiaoyan, ZHANG Hong, TAO Chunhua, LU Lingjiang, WAN Xin, LIU Zhaowei

“…This research focuses on an outlet from a sewage treatment facility located in the upper reaches of the Yangtze River to evaluate the hydrodynamic and water quality model. …”
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Electronic nose and machine learning for modern meat inspection by Ivan Shtepliuk, Guillem Domènech-Gil, Viktor Almqvist, Arja Helena Kautto, Ivar Vågsholm, Sofia Boqvist, Jens Eriksson, Donatella Puglisi

“…This research lays the groundwork for practical applications within the meat inspection process in slaughterhouses and as quality assurance throughout the meat supply chain. …”
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Study on assessment of water system health in Heihe River Basin based on the game theory by Jiayu Du, Hairong Gao, Ran Liu, Yu Han, Runzhi Hu

“…In addition, satellite remote sensing technology is introduced, utilizing Sentinel-2 satellite remote sensing imagery in combination with linear fitting, curve fitting, and algorithm fitting to establish regional models for water quality indicators. …”
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Building a Custom Crime Detection Dataset and Implementing a 3D Convolutional Neural Network for Video Analysis by Juan Camilo Londoño Lopera, Freddy Bolaños Martinez, Luis Alejandro Fletscher Bocanegra

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Estimating the Spectral Response of Eight-Band MSFA One-Shot Cameras Using Deep Learning by Pierre Gouton, Kacoutchy Jean Ayikpa, Diarra Mamadou

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An Autoencoder-Based Task-Oriented Semantic Communication System for M2M Communication by Prabhath Samarathunga, Hossein Rezaei, Maheshi Lokumarambage, Thushan Sivalingam, Nandana Rajatheva, Anil Fernando

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Artificial Intelligence and the Human–Computer Interaction in Occupational Therapy: A Scoping Review by Ioannis Kansizoglou, Christos Kokkotis, Theodoros Stampoulis, Erasmia Giannakou, Panagiotis Siaperas, Stavros Kallidis, Maria Koutra, Paraskevi Malliou, Maria Michalopoulou, Antonios Gasteratos

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The role of artificial intelligence in breast cancer screening as a supportive tool for radiologists by Agata Król, Katarzyna Kwaterska, Karol Kutyłowski, Paweł Łuckiewicz

“…Purpose and methods The aim of this review is to provide an overview on clinical use of AI in breast cancer screening with focusing on impact on results quality and workload. The evaluation has been focused on the degree of AI participation in diagnostic process and its impact on screening or human performance. …”
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AI’s role in transforming learning environments: a review of collaborative approaches and innovations by Dwi Mariyono, Akmal Nur Alif Hd

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Intrusion Detection Using Machine Learning for Risk Mitigation in IoT-Enabled Smart Irrigation in Smart Farming by Abhishek Raghuvanshi, Umesh Kumar Singh, Guna Sekhar Sajja, Harikumar Pallathadka, Evans Asenso, Mustafa Kamal, Abha Singh, Khongdet Phasinam

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Machine Learning Using Approximate Computing by Padmanabhan Balasubramanian, Syed Mohammed Mosayeeb Al Hady Zaheen, Douglas L. Maskell

“…Approximate computation has emerged as a promising alternative to accurate computation, particularly for applications that can tolerate some degree of error without significant degradation of the output quality. …”
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Real-Time Remote Patient Monitoring and Alarming System for Noncommunicable Lifestyle Diseases by Htet Yamin Ko Ko, Nitin Kumar Tripathi, Chitrini Mozumder, Sombat Muengtaweepongsa, Indrajit Pal

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Machine learning approach for 2D abrasion mapping in Sediment Bypass Tunnels: a case study of Koshibu SBT, Japan by Ahmed Emara, Sameh A. Kantoush, Mohamed Saber, Tetsuya Sumi, Vahid Nourani, Emad Mabrouk

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Perception of premium services based on the evolution of hyper-service network in mobile edge computing by Xiaojun Zhang, Zhizhong Liu, Dianhui Chu, Meiyue Zhao

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Optimisation of Criminal Data Clustering Model using Information Gain by Prih Diantono Abda’u, Ratih Hafsarah Maharrani, Muhammad Nur Faiz, Oman Somantri

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