Optimization and image quality in CT studies: application of DRLs based on clinical indication by Carmine Picone, Annamaria Porto, Roberta Fusco, Claudio Granata, Maria Chiara Brunese, Vincenza Granata, Alessandro Ottaiano, Marialuisa Barretta, Ferdinando Caranci, Biagio Pecori, Eugenio Sorgente, Sergio Salerno, Raffaella Mormile, Fabio Pinto, Antonio Pinto, Andrea Magistrelli, Antonella Petrillo

“…Abstract The use of ionizing radiation in computed tomography (CT) has significantly enhanced diagnostic accuracy and clinical decision-making. …”
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Improved Consistency of Lung Nodule Categorization in CT Scans with Heterogeneous Slice Thickness by Deep Learning-Based 3D Super-Resolution by Dongok Kim, Jae Hyung Park, Chang Hyun Lee, Young-Ju Kim, Jong Hyo Kim

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Two-stage stochastic capacitated Lot-Sizing problem by Lot-Size adaptation approach by Arsalan Rahmani, Meysam Hosseini, Amir Sahami

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Explainable artificial intelligence-machine learning models to estimate overall scores in tertiary preparatory general science course by Sujan Ghimire, Shahab Abdulla, Lionel P. Joseph, Salvin Prasad, Angela Murphy, Aruna Devi, Prabal Datta Barua, Ravinesh C. Deo, Rajendra Acharya, Zaher Mundher Yaseen

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Total fuzzy graph coloring by Smriti Saxena, Antika Thapar, Richa Bansal

“…TFGC is also converted into an equivalent binary programming problem and solved using a CPLEX solver. …”
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Leveraging Environmental Contact and Sensor Feedback for Precision in Robotic Manipulation by Jan Šifrer, Tadej Petrič

“…Two main approaches are examined: solving the inverse kinematics problem and employing quadratic programming, which offers computational efficiency by utilizing forward kinematics. …”
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Monolithic and Decomposition Methods for Optimal Scheduling of Dynamically Adaptive Water Networks by Bradley Jenks, Aly-Joy Ulusoy, Ivan Stoianov

“…We compare the performance of a decomposition method using the alternating direction method of multipliers (ADMM) with a gradient-based sequential convex programming (SCP) monolithic solver. Solution quality and computational efficiency are evaluated using a model of a large-scale network in the UK.…”
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Mejoramiento de procesos constructivos a partir de un módulo programable para captura de imágenes y simulación digital Improvement of constructive processes based on a programmable... by Adriana Gómez Cabrera, Juan Diego Echeverry Hoyos, María Ximena Giraldo Palma, Camilo Otálora Sanchez, Martha Lucía Cano Morales

“…Inicialmente se presenta el diseño y desarrollo de un módulo programable y autónomo para captura de imágenes digitales de procesos constructivos, con alimentación a través de energía fotovoltaica. …”
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A Simple Algorithm for Finding a Non-negative Basic Solution of a System of Linear Algebraic Equations by Gleb D. Stepanov

“…This problem, which undoubtedly has an independent interest, in particular, is the most time-consuming part of the famous simplex method for solving linear programming problems.Unlike the artificial basis Orden’s method used in the classical simplex method, the proposed algorithm does not attract artificial variables and economically consumes computational resources.The algorithm consists of two stages, each of which is based on Gaussian exceptions. …”
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A Novel Minimization Method for Sensor Deployment Via Heuristic 2-Sat Solution by Waleed Ahmed, Ali Muhammad Ali Rushdi

“…Therefore, in order to optimize such a problem, we use the special case of linear integer programming known as Boolean integer linear programming (0-1 ILP). …”
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Two Power Allocation and Beamforming Strategies for Active IRS-aided Wireless Network via Machine Learning by Q. Cheng, J. Bai, X. Wang, B. Shi, W. Gao, F. Shu

“…Then, we maximize achievable rate (AR) and use closed-form fractional programming (CFFP) method to transform the original problem into an equivalent form. …”
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Real-time optimized inverse kinematics of redundant robots under inequality constraints by Linlin Zhang, Huibin Du, Zhiying Qin, Yuejing Zhao, Guang Yang

“…The proposed method proceeds by using constrained linear programming instead of quadratic programming to solve the inverse kinematics problem. …”
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The African Initiative for Bioinformatics Online Training in Neurodegenerative Diseases (AI‐BOND): Investing in the next generation of African neuroscientists by Bernard Fongang, Biniyam A. Ayele, Yannick N. Wadop, Emmanuel Epenge, Cyrille D. Nkouonlack, Wepnyu Y. Njamnshi, Xueqiu Jian, Murali Sargurupremraj, Alice B. S. Nono Djotsa, Paul F. Seke Etet, Rebecca Bernal, Abdon Atangana, Jose E. Cavazos, Jayandra Jung Himali, Alfred N. Fonteh, Gladys Maestre, Alfred K. Njamnshi, Sudha Seshadri

“…The first cohort of the AI‐BOND program will graduate in June 2024. The AI‐BOND program is expected to build research computational capacities in Africa that will improve the ability of graduates to conduct and utilize large‐scale studies, with the goal of curbing the growing incidence of neurodegenerative diseases in Africa. …”
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Generation Capacity Expansion Problem Considering Different Operation Modes of Combined-Cycle Gas Turbines by Hernan Gomez-Villarreal, Miguel Canas-Carreton, Miguel Carrion

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Energy Management in Refrigerated Electric Small Transport: A Hierarchical Approach by Agnes Poks, Alexander Schirrer, Martin Kozek

“…Offline optimization prior to the driving mission uses dynamic programming to ensure optimal operation. The approach involves performing backward and forward recursion, computing the cost-to-go matrix at each step by sweeping through the stage variable. …”
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Generative Design-Driven Optimization for Effective Concrete Structural Systems by Hossam Wefki, Mona Salah, Emad Elbeltagi, Majed Alinizzi

“…Developed within the parametric visual programming environment in Dynamo for Revit, the model employs a generative design (GD) engine to explore and refine various design alternatives while adhering to structural constraints. …”
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A decomposition approach for integrated locomotive scheduling and driver assignment in rail freight transport by Andreas Bärmann, Alexander Martin, Jonasz Staszek

“…In this work, we consider the integrated problem of locomotive scheduling and driver assignment in rail freight companies. Our aim is to compute an optimal simultaneous assignment of locomotives and drivers to the trains listed in a given order-book. …”
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Quadratic descriptors and reduction methods in a two-layered model for compound inference by Jianshen Zhu, Naveed Ahmed Azam, Shengjuan Cao, Ryota Ido, Kazuya Haraguchi, Liang Zhao, Hiroshi Nagamochi, Tatsuya Akutsu

“…A mixed-integer linear programming formulation is designed to approximate these quadratic descriptors for inferring desired compounds with the two-layered model. …”
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Machine learning–guided single-cell multiomics uncovers GDF15-driven immunosuppressive niches in NSCLC: A translational framework for overcoming anti-PD-1 resistance by Xianfei Zhang, Zhengxin Yin, Xueyu Chen, Nengchong Zhang, Shengjia Yu, Congcong Zhu, Lianggang Zhu, Liulan Shao, Bin Li, Runsen Jin, Hecheng Li

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Towards Optimizing the Downlink Transmit Power in UAV-Integrated IRS Wireless Systems by Ali Reda, Tamer Mekkawy, Ashraf Mahran

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