Hyperprolactinemia during application of second-generation antipsychotics: the principles of prevention, diagnosis and correction by L. N. Gorobets, G. E. Mazo

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Improving the Accuracy of Neural Network Pattern Recognition by Fractional Gradient Descent by Ruslan I. Abdulkadirov, Pavel A. Lyakhov, Valentina A. Baboshina, Nikolay N. Nagornov

“…Further research of fractional calculus in modern neural network methodology can improve the quality of solving various challenges such as pattern recognition, time series forecasting, moving object detection, and data generation.…”
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Intellectual Property Ownership of AI-Generated Content by A. Kirakosyan

“…The methodological basis of the research includes general scientific and special legal methods. …”
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Dynamic parking space allocation at urban scale: Problem formulation and resolution by Hanae Errousso, Jihane El Ouadi, El Arbi Abdellaoui Alaoui, Siham Benhadou

“…The ordinary walking distance is reduced by 40% if our solution is adopted. Yet, other research works report a decrease of this distance not exceeding 30%. …”
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Detection of out-of-seam and out-of-scope mining using double filtering method by Chong Wang, Pengzhi Cui, Guodong Song, Zhiming Xu, Jiajun Qin

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A simulation-driven computational framework for adaptive energy-efficient optimization in machine learning-based intrusion detection systems by Ripal Ranpara, Osamah Alsalman, Om Prakash Kumar, Shobhit K. Patel

“…Abstract This paper presents GreenMU, an innovative proposed novel framework designed to address the two main challenges: energy efficiency as one of the main research components and detection performance in intrusion detection systems. …”
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Deep learning detects entire multiple-size lunar craters driven by elevation data and topographic knowledge by Liyang Xiong, Yanxiang Wang, Haoyu Cao, Yingchao Ren, Sijin Li, Yang Chen, Guoan Tang

“…Therefore, in this study, we propose a deep learning Crater Detection Algorithms (CDA), called Lunar Topographic Knowledge Attention U-Net (LTKAU-Net) that integrates a Digital Elevation Model (DEM) and topographic knowledge. …”
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Navigating Intelligence: A Survey of Google OR‐Tools and Machine Learning for Global Path Planning in Autonomous Vehicles by Alexandre Benoit, Pedram Asef

“…We delve into an extensive comparison and analysis of Google operations research (OR)‐Tools optimization algorithms. Our study is driven by the goal of applying and testing the limits of OR‐Tools capabilities by integrating Reinforcement Learning techniques for the first time. …”
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The Application of PSO in Structural Damage Detection: An Analysis of the Previously Released Publications (2005–2020) by Parsa Ghannadi, Seyed Sina Kourehli, Seyedali Mirjalili

“…Using these methods, an objective function is minimized by an optimization algorithm during an iterative procedure. The performance of optimization algorithms has a significant impact on the accuracy of damage identification methodology. …”
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Neoantigen vaccines: advancing personalized cancer immunotherapy by Alaa A. A. Aljabali, Yassmen Hamzat, Alaa Alqudah, Lorca Alzoubi

“…Eligible studies included peer-reviewed research articles, systematic reviews, and clinical trials focusing on neoantigen vaccine development, bioinformatic strategies, and immunotherapy. …”
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A New Hybrid PSO-HHO Wrapper Based Optimization for Feature Selection by Sumbul Azeem, Shazia Javed, Iftikhar Naseer, Oualid Ali, Taher M. Ghazal

“…Reasonably balancing exploration and exploitation will increase the search algorithm’s performance. This research combines Particle Swarm Optimization (PSO) and Harris Hawk Optimization (HHO) to form a Hybrid PSO-HHO approach to enhance the feature selection process. …”
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Usability and Perceived Efficiency of an Adaptive Route Optimization Solution for Commercial Vehicles by Florian Anghelache, Nicolae Goga, Constantin Viorel Marian, Dan Alexandru Mitrea, Ionel-Bujorel Pavaloiu

“…This paper details the outcome of a European scientific research and development project, funded to prototype a commercial solution for vehicle fleets. …”
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EEMLCR: Energy-Efficient Machine Learning-Based Clustering and Routing for Wireless Sensor Networks by Muhammad Akram, Sibghat Ullah Bazai, Muhammad Imran Ghafoor, Saira Akram, Qazi Mudassar Ilyas, Abid Mehmood, Sajid Iqbal, Muhammad Asim Rafique

“…This research investigates the application of machine learning algorithms, specifically Q-learning and K-means clustering, to propose the Energy-Efficient Machine Learning-based Clustering and Routing (EEMLCR) method for WSNs. …”
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The First Resolution of the Travelling Salesman Problem under Neutrosophic Octagonal Fuzzy Environment by Mariem Miledia, Taicir Loukilb, Souhail Dhouiba

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Optimizing machine learning methods for groundwater quality prediction: Case study in District Bagh, Azad Kashmir, Pakistan by Usman Basharat, Wenjing Zhang, Cuihong Han, Shoukat Husain Khan, Arshad Abbasi, Sehrish Mahroof, Shuxin Li

“…This study evaluates various base ML algorithms and stacking ensemble classifiers (meta-classifiers) using data from 90 groundwater samples collected in District Bagh, Azad Kashmir, Pakistan. …”
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Adaptive drive-based integration technique for predicting rheological and mechanical properties of fresh gangue backfill slurry by Chaowei Dong, Jianfei Xu, Nan Zhou, Jixiong Zhang, Hao Yan, Zejun Li, Yuzhe Zhang

“…Analysis demonstrates that the particle swarm optimal (PSO) algorithm based on adaptive adjustment strategy can effectively optimize the hyperparameters of support vector regression (SVR), and the MC-PSO-SVR model exhibits better predictive capability (R2> 0.88) and lower error coefficients (MAE, RSE, and RMSE values approaching 0) and narrower widths of 95 % confidence intervals for yield stress, plastic viscosity, fluidity, and UCS. …”
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Meson thermalization with a hot medium in the open Schwinger model by Takis Angelides, Yibin Guo, Karl Jansen, Stefan Kühn, Giuseppe Magnifico

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Machine learning based on laboratory data for disease prediction by A. V. Gusev, R. E. Novitskiy, A. A. Ivshin, A. A. Alekseev

“…There is an increase in the activity of research in the field of predicting noncommunicable diseases using artificial intelligence technologies.…”
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Deep Learning-Based Portfolio Management: Empirical Study of Listed Shares on the Indonesian Stock Exchange by Grace Citra Dewi, Patrick Villanueva, Sutanto Hidayat, Elysabeth Christy Diandra Selano

“…This research aims to prove whether the Deep Learning Long Short Term Memory (LSTM) prediction results are close to real prices. …”
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An integrative TLBO-driven hybrid grey wolf optimizer for the efficient resolution of multi-dimensional, nonlinear engineering problems by Harleenpal Singh, Sobhit Saxena, Himanshu Sharma, Vikram Kumar Kamboj, Krishan Arora, Gyanendra Prasad Joshi, Woong Cho

“…Abstract This research article introduces a hybrid optimization algorithm, referred to as Grey Wolf Optimizer-Teaching Learning Based Optimization (GWO-TLBO), which extends the Grey Wolf Optimizer (GWO) by integrating it with Teaching-Learning-Based Optimization (TLBO). …”
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