Potential cost savings from generic medicines – protecting the Prescribed Minimum Benefits by Elizabeth Nicolosi, Andy Gray

“…Cost differentials, where available, were then identified for each medicine listed in the algorithms. Cost differentials for medicines within each algorithm were presented as the median of the difference between brand and generic medicines listed for that algorithm, and also as the median of differences between generic medicines for the same condition. …”
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Confidence-Aware Multi-Model Image Classification for Early Disease Detection in Plants by Zhong Tianyi, Iqbal Muhammad Azhar, Zhang Xu

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Neural Architecture Search for Generative Adversarial Networks: A Comprehensive Review and Critical Analysis by Abrar Alotaibi, Moataz Ahmed

“…The review highlights the benefits of NAS in improving GAN performance, stability, and efficiency, while also identifying limitations and areas for future research. …”
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A survey on fish classification techniques by Mutasem K. Alsmadi, Ibrahim Almarashdeh

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Robust Precoder for Mitigating Inter-Symbol and Inter-Carrier Interferences in Coherent Optical FBMC/OQAM by Khaled Abdulaziz Alaghbari, Heng-Siong Lim, Tawfig Eltaif

“…A mathematical model and algorithm for implementing the precoder are also presented. …”
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Improving quantum metrology protocols with programmable photonic circuits by de las Heras Alberto Muñoz, Porras Diego, González-Tudela Alejandro

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THE PROBLEMS OF INTEGRATING ARTIFICIAL INTELLIGENCE INTO THE JUDICIAL SYSTEM OF RUSSIAN FEDERATION by Dmitry F. Zagotovkin, Kirill Rilsky

“…The recommendations can also be used by the legislator when conducting research on the topic of the article. …”
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State-of-the-Art Fault Detection and Diagnosis in Power Transformers: A Review of Machine Learning and Hybrid Methods by Lebo Dina Mashifane, Bongumsa Mendu, Bessie Baakanyang Monchusi

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Optimizing Hybrid Renewable Energy Systems for Isolated Applications: A Modified Smell Agent Approach by Manal Drici, Mourad Houabes, Ahmed Tijani Salawudeen, Mebarek Bahri

“…This modification addresses issues of poor convergence and suboptimal search in the original algorithm. Both the modified and standard algorithms were employed to design an HRES system comprising photovoltaic panels, wind turbines, fuel cells, batteries, and hydrogen storage, all connected via a DC-bus microgrid. …”
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Interactive Viral Marketing Through Big Data Analytics, Influencer Networks, AI Integration, and Ethical Dimensions by Leonidas Theodorakopoulos, Alexandra Theodoropoulou, Christos Klavdianos

“…A distinctive theoretical contribution of this study lies in its innovative combination of Big Data analytics with AI-based predictive modeling, explicitly revealing how real-time algorithmic personalization not only enhances marketing effectiveness but also creates new ethical tensions surrounding misinformation, algorithmic bias, and consumer vulnerability. …”
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Artificial Intelligence Applied in Legal Information: A Systematic Mapping Study by Juan DAlotto DAlotto, Claudia Pons, Leandro Antonelli

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Evolving Hybrid Deep Neural Network Models for End-to-End Inventory Ordering Decisions by Thais de Castro Moraes, Jiancheng Qin, Xue-Ming Yuan, Ek Peng Chew

“…<i>Methods:</i> Addressing this gap, we introduce novel E2E deep learning frameworks that combine Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) for resolving single-period inventory ordering decisions, also termed the Newsvendor Problem (NVP). This study investigates the performance drivers of hybrid CNN-LSTM architectures, coupled with an evolving algorithm for optimizing network configuration. …”
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Many-Objective Cheetah Optimizer: A Novel Paradigm for Solving Complex Engineering Problems by Pinank Patel, Divya Adalja, Nikunj Mashru, Pradeep Jangir, Arpita, Reena Jangid, G. Gulothungan, Ahmad O. Hourani, Kaznah Alshammari

“…MaOCO represents the Many-Objective Cheetah Optimization Algorithm which draws its concepts from the hunting behavior of cheetahs. …”
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A Quantum-like Approach to Semantic Text Classification by Anastasia S. Gruzdeva, Rodion N. Iurev, Igor A. Bessmertny, Andrei Y. Khrennikov, Alexander P. Alodjants

“…Our findings show that accounting for interference effects improves accuracy by approximately <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>15</mn><mo>%</mo></mrow></semantics></math></inline-formula>. We also explore methods for reducing the computational cost of algorithms based on the wave model of text representation. …”
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Data-Driven Computational Methods in Fuel Combustion: A Review of Applications by Jacek Lukasz Wilk-Jakubowski, Lukasz Pawlik, Damian Frej, Grzegorz Wilk-Jakubowski

“…This review article provides a comprehensive analysis of the recent advancements in combustion science and engineering, focusing on the application of machine learning and genetic algorithms from 2015 to 2024. The study examines the integration of computational methods, including computational fluid dynamics, neural networks, and genetic algorithms, with various fuel types such as biodiesel, biomass, coal, gasoline, hydrogen, and natural gas. …”
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A Novel Deep Learner for Human Behavior Prediction Over Public Video Surveillance by Bayan Alabdullah, Bisma Batool Fatima, Haifa F. Alhasson, Mohammed Alshehri, Yahya AlQahtani, Nouf Albhassabi, Hui Liu

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A Comprehensive System to Support Decision Making in Highly Complex Project Portfolio Situations by Efrain Solares, Eduardo Fernandez, Carlos A. Coello Coello, Xochitl Segura Lozano, Reimundo Moreno-Cepeda, Raymundo Diaz

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Integrating Statistical and Earth <i>AgriData</i> in Small Farming Systems for Food Security by Theodore Tsiligiridis, Katerina Ainali

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Leanness Computation: Small Values and Special Graph Classes by David Coudert, Samuel Coulomb, Guillaume Ducoffe

“…Graphs with leanness equal to 0, a.k.a. geodetic graphs, also have received special attention in Graph Theory. …”
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Methodology for Assessing the Level of Digitalization of the Construction Industry by A. S. Mishchenko

“…The scientific novelty of the methodology lies in the adaptation of classical scientific approaches to the specifics of the construction complex with the simultaneous substantiation of the assessment system, which allows not only to establish the general level of digitalization, but also to identify the least digitalized areas, and also to determine at what stage of the transition to a digital model are individual construction organizations.…”
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