Operational Performance Assessment of PV-Powered Street Lighting: A Comparative Study of Different Machine Learning Prediction Models by Safwan Nadweh, Nabil Mohammed, Charalambos Konstantinou, Shehab Ahmed

“…A comprehensive database is created and used to train the proposed algorithms. The results indicate that DNNs and DBNs algorithms achieve the lowest error rate (2.5%) and highest accuracy (97%) with high-quality data. …”
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Szász–Beta Operators Linking Frobenius–Euler–Simsek-Type Polynomials by Nadeem Rao, Mohammad Farid, Shivani Bansal

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Mobile operation and maintenance system of electric power communication access network based on IoT technology by Haiming JIANG, Danni XIA, Yuan LIU, Shiwen ZHAO, Lin FEI, Jingyu REN

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Risk communication: ethics, psychology, law by E. O. Taratukhin

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Highly Efficient JR Optimization Technique for Solving Prediction Problem of Soil Organic Carbon on Large Scale by Harsh Vazirani, Xiaofeng Wu, Anurag Srivastava, Debajyoti Dhar, Divyansh Pathak

“…The primary aim of this research is to develop and evaluate a novel optimization algorithm for accurate SOC prediction by leveraging multi-source environmental data. …”
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APOTHEOSIS: An efficient approximate similarity search system by Daniel Huici, Ricardo J. Rodríguez, Eduardo Mena

“…APOTHEOSIS overcomes them by combining advanced algorithms and data structures, enabling fast and accurate similarity analysis. …”
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Black-box and white-box machine learning tools to estimate the frost formation condition during cryogenic CO2 capture from natural gas blends by Farag M.A. Altalbawy, Fadhel F. Sead, Dharmesh Sur, Anupam Yadav, José Gerardo León Chimbolema, Suhas Ballal, Abhayveer Singh, Anita Devi, Kamal Kant Joshi, Nizomiddin Juraev, Hossein Mahabadi Asl

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A Systematic Review and Evolutionary Analysis of the Optimization Techniques and Software Tools in Hybrid Microgrid Systems by Kawakib Arar Tahir

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Methodology for Building a Prototype System for Complex Data Analysis of Thematic Sites by I. I. Piletski, M. P. Batura, N. A. Volarava

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Sustainable Innovations in the Food Industry through Artificial Intelligence and Big Data Analytics by Saurabh Sharma, Vijay Kumar Gahlawat, Kumar Rahul, Rahul S Mor, Mohit Malik

“…This paper addresses the research concerning AI and big data analytics in the food industry, including machine learning, artificial neural networks (ANNs), and various algorithms. …”
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Economic Dispatch with Transmission Losses in a Distributed Generation Network of Bahawalpur by Khan Ahmad, Rashid Zeeshan, Umer Farhana, Yousaf Abdur Rehman, Saeed Arif

“…A MATLAB algorithm is designed which gives optimum division of power between two power plants and their transmission losses. …”
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Three novel cost-sensitive machine learning models for urban growth modelling by Mohammad Ahmadlou, Mohammad Karimi, Saad Sh. Sammen, Karam Alsafadi

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Three-Dimensional Shape Reconstruction from Digital Freehand Design Sketching Based on Deep Learning Techniques by Ding Zhou, Guohua Wei, Xiaojun Yuan

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Batch generated strongly nonlinear S-Boxes using enhanced quadratic maps by Mohammad Mazyad Hazzazi, Farooq E Azam, Rashad Ali, Muhammad Kamran Jamil, Sameer Abdullah Nooh, Fahad Alblehai

“…Its cipher strength directly impacts the cipher algorithm's security, and the block cipher algorithm requires a good S-box. …”
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Integration of AI in Self-Powered IoT Sensor Systems by Cosmina-Mihaela Rosca, Adrian Stancu

“…The paper proposes future research directions to expand AI’s applicability in developing systems that integrate self-powered IoT sensors. …”
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Leveraging Machine Learning for Optimized Mechanical Properties and 3D Printing of PLA/cHAP for Bone Implant by Francis T. Omigbodun, Norman Osa-Uwagboe, Amadi Gabriel Udu, Bankole I. Oladapo

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Strategies for Upgrading an Operator's Backbone Network Beyond the C-Band: Towards Multi-Band Optical Networks by Dimitris Uzunidis, Evangelos Kosmatos, Chris Matrakidis, Alexandros Stavdas, Andrew Lord

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THE INVERSE GAUSSIAN PLUME METHOD FOR ESTIMATING THE LEVEL OF AIR POLLUTION by Volodymyr Hura, Liubomyr Monastyrskyi

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Wearable IoT (w-IoT) artificial intelligence (AI) solution for sustainable smart-healthcare by Gurdeep Singh

“…In Binary classification, KNN achieved F-score of 91 %, followed by DT at 81 % which seems an effective algorithm with flexibility on overfitting with high accuracy result. …”
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A new smart charging electric vehicle and optimal DG placement in active distribution networks with optimal operation of batteries by Bilal Naji Alhasnawi, Marek Zanker, Vladimír Bureš

“…To do this, the DNs integrate energy storage systems with Distributed Generating Units (DGs). This research report attempts to accomplish too many goals at once. …”
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