Toward edge-computing-enabled collision-free scheduling management for autonomous vehicles at unsignalized intersections by Ziyi Lu, Tianxiong Wu, Jinshan Su, Yunting Xu, Bo Qian, Tianqi Zhang, Haibo Zhou

“…First, by analyzing the collision point occupation time, this paper formulates an absolute value programming problem. Second, this problem is solved with low complexity by the Edge Intelligence Optimal Entry Time (EI-OET) algorithm based on edge-cloud computing power support. …”
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Accuracy-Aware MLLM Task Offloading and Resource Allocation in UAV-Assisted Satellite Edge Computing by Huabing Yan, Hualong Huang, Zijia Zhao, Zhi Wang, Zitian Zhao

“…However, cloud computing dependency introduces latency, bandwidth, and privacy challenges, while IoT device limitations require efficient distributed computing solutions. …”
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EFFICIENCY OF QUANTITATIVE ANALYSIS OF LUNG COMPUTED TOMOGRAPHY FINDINGS IN PATIENTS WITH CHRONIC OBSTRUCTIVE PULMONARY DISEASE by A. V. Kolsanov, P. M. Zel,ter, A. V. Kapishnikov, S. S. Chaplygin

“…Objective: to evaluate the efficiency of detection of emphysema in the analysis of lung computed tomography (CT) images using the “Autoplan” program and to compare the data of quantitative analysis and clinical indicators. …”
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Cross-Temperature FeFETs Enabling Long- and Short-Term Memory for Reservoir Computing Network by Bo Chen, Yifan Wu, Yuwei Qu, Anlin Liu, Yuzhe Hu, Pengpeng Sang, Jixuan Wu, Xuepeng Zhan, Jiezhi Chen

“…Moreover, a reservoir computing (RC) network is proposed based on the cross-temperature FeFETs. …”
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Сalculation of settlement of an extended slab foundation of finite stiffness based on computer modelling data by L. A. Bartolomey, O. A. Bogomolova, L. V. Geidt, A. V. Geidt

“…The offered solution uses only interpolation methods without involving powerful computing devices. The computer program FEA, which formalises the finite element method, was used to obtain the result. …”
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Efficient Resource Allocation for Blockchain-Enabled Mobile Edge Computing: A Joint Optimization Approach by Moein Valitabar, Mohammad Fathi, Keivan Navaie

“…We propose a novel joint resource allocation framework that integrates task offloading and blockchain processes within MEC, formulating it as a mixed-integer nonlinear programming (MINLP) problem. The solution assigns mobile terminals (MTs) to ESs and optimally allocates computational resources at ESs for both task computation and block generation. …”
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Prevalence rate of structural scoliosis in school children of Novosibirsk according to the computed optical topography data by V. N. Sarnadskiy, M. V. Mikhaylovskiy, T. N. Sadovaya, T. N. Orlova, S. B. Kuznetsov

“…The purpose of the paper is to study the prevalence of structural scoliosis among 6–18 year-old school children from Novosibirsk using the computed optical topography (COMOT) data.Materials and methods. …”
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Research and Development of an IoT Smart Irrigation System for Farmland Based on LoRa and Edge Computing by Ying Zhang, Xingchen Wang, Liyong Jin, Jun Ni, Yan Zhu, Weixing Cao, Xiaoping Jiang

“…These developments are based on the EC-IOT edge computing IoT architecture and long range radio (LoRa) communication technology, utilizing STM32 MCU, WH-101-L low-power LoRa modules, 4G modules, high-precision GPS, and other devices. …”
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Enhancing data analysis and programming skills through structured prompt training: The impact of generative AI in engineering education by Ashish Garg, K. Nisumba Soodhani, Ramkumar Rajendran

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An Application of Developmental Genetic Programming for Automatic Creation of Supervisors of Multi-task Real-Time Object-Oriented Systems by Krzysztof Sapiecha, Leszek Ciopiński, Stanisław Deniziak

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DSML4JaCaMo: A Modelling tool for Multi-agent Programming with JaCaMo by Burak Karaduman, Baris Tekin Tezel, Geylani Kardas, Moharram Challenger

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Participating in an Industry Based Social Service Program: a Report of Student Perception of What They Learn and What They Need by Miguel Ehécatl Morales Trujillo, Gabriel Alberto García Mireles

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Digital Inequality and Access by Low-Income Individuals to Public Benefits by Jihye Lee, James Hamilton, Nilam Ram, Thomas Robinson, Byron Reeves

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Scientific mapping of digitalization in architectural education for sustainability by Zeynep Kamile Cenk, Semra Arslan Selçuk

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Secret Sharing Limitations Over Boolean Circuits by Iulian Oleniuc, Alexandru Ioniță

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AC Optimal Power Flow: a Conic Programming relaxation and an iterative MILP scheme for Global Optimization by Oustry, Antoine

“…We address the issue of computing a global minimizer of the AC Optimal Power Flow problem. …”
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Yield, Protein, and Starch Equilibrium of Indigenous Varieties: An Open Door for Computational Breeding in Enhancing Selection Strategies by Gabriela Gorinoiu, Cerasela Petolescu, Alina Laura Agapie, Ciprian Buzna, Petru Rain, Nicolae Marinel Horablaga, Adina Horablaga, Ionel Samfira, Marius Valentin Boldea, Irina Petrescu, Ioan Sarac, Emilian Onisan

“…Furthermore, integrating an equilibrium model into computational breeding could provide a framework for enabling breeding programs to optimize yield and grain composition while eliminating low-potential varieties.…”
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An Exact Algorithm Based on the Kuhn–Tucker Conditions for Solving Linear Generalized Semi-Infinite Programming Problems by Abraham Barragán, José-Fernando Camacho-Vallejo

“…The resulting reformulation allows us to employ a branch and bound scheme to optimally solve the problem. Computational experimentation over well-known instances shows the effectiveness of the developed method concluding that it is able to effectively solve linear semi-infinite programming problems. …”
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A mixed-integer linear programming method for time-dependent line planning in passenger railway systems. by Xin Shi, Wenliang Zhou, Xiang Li

“…Additionally, a set of simplification strategies is introduced to reduce the computational complexity while ensuring the global optimality of the linear model. …”
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Optimal Positioning of Unmanned Aerial Vehicle (UAV) Base Stations Using Mixed-Integer Linear Programming by Gowtham Raj Veeraswamy Premkumar, Bryan Van Scoy

“…This approach introduces a trade-off between computational time efficiency and optimality, which can be tuned by adjusting the number of clusters. …”
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