Green Last-Mile Delivery: Adapting Beverage Distribution to Low Emission Urban Areas by Alessandro Giordano, Panayotis Christidis

“…Applying a fleet and route optimization algorithm for various vehicle combinations, we demonstrate that emerging electric vehicle options, combined with a redesigned fleet mix and an optimized routing, can already enable cost-efficient electrification of distribution activities in the city centre. …”
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Multiclass Classification of Solar Flares in Imbalanced Data Using Ensemble Learning and Sampling Methods by Haodi Jiang, Ryoma Matsuura, Jason T. L. Wang

“…We used the Space-weather HMI Active Region Patches (SHARP) parameters available from Stanford’s Joint Science Operations Center (JSOC) to train machine learning models to classify these flares. …”
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Research on Electric Vehicle Charging Load Forecasting Method Based on Improved LSTM Neural Network by Chengmin Wang, Yangzi Wang, Fulong Song

“…The LSTM neural network takes the main components of EV charging load as inputs, updates the state of the storage unit through the activation function, introduces an attention mechanism to improve the structure of the network, and outputs the prediction results of the EV charging load through the operation of the input gate, forgetting gate, and output gate. …”
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V-STAR: A Cloud-Based Tool for Satellite Detection and Mapping of Volcanic Thermal Anomalies by Simona Cariello, Arianna Beatrice Malaguti, Claudia Corradino, Ciro Del Negro

“…Observing volcanoes from a satellite perspective provides key advantages, enabling continuous data acquisition and near-real-time assessment of volcanic activity. Multispectral sensors operating across various regions of the electromagnetic spectrum can detect thermal anomalies associated with lava flows, pyroclastic flows, ash plumes, and volcanic gases. …”
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Comparing Machine Learning-Based Crime Hotspots Versus Police Districts: What’s the Best Approach for Crime Forecasting? by Eugenio Cesario, Paolo Lindia, Andrea Vinci

“…In contrast, machine learning-based approaches could dynamically adapt to areas with differing crime frequencies and densities, making them particularly effective in cities characterized by diverse population distributions and crime activity levels. This study examines the impact of various partitioning techniques on crime forecasting performance, comparing the traditional static division of the city into police districts with machine learning approaches, specifically density clustering algorithms, for detecting crime hotspots. …”
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EXPERIMENTAL CHECK OF EFFECTIVE MANAGEMENT OF LINKS OF GAS AND SMOKE PROTECTIVE SERVICE AT INTRODUCTION OF SENSORS OF A MOTIONLESS STATE by E. N. Tuzhikov

“…Objectives The environmental factors at the fire that affect the efficiency of the operational activities of fire and rescue units in an unfit environment for breathing and statistical information on the functioning of the gas and smoke protection service in regions of the Russian Federation are given. …”
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Helium Speech Recognition Method Based on Spectrogram with Deep Learning by Yonghong Chen, Shibing Zhang, Dongmei Li

“…With the development of the marine economy and the increase in marine activities, deep saturation diving has gained significant attention. …”
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Changing social citizenship through information technology by Karolina Sztandar-Sztanderska, Marianna Zielenska

“…Instead, the access to services and benefits is determined on the basis of multiple non-transparent and seemingly technical criteria (for similar accounts, see van Berkel 2011; Dubois 2009) inscribed in the IT tool: the profiling programme scores personal characteristics and attitudes towards work - the so called"employment potential" - according to a hidden algorithm. This computer-integrated assessment has significant consequences as those who are classified as lacking"employment potential" (i.e. approximately 33% of the unemployed population) have no possibility to appeal against the decision and become formally excluded from most forms of active labour market programmes (Niklas et al. 2015). …”
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Accelerated Computation of Linear Complementarity Problem in Dexterous Robotic Grasping via Newton-Subgradient Non-Smooth Multi-Step Greedy Kaczmarz Method by Zhiwei Ai, Chenliang Li

“…In each NSNMGK iteration, sequential projection operations are systematically applied to all active constraint rows, satisfying the greedy criterion. …”
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Prerequisites defining the trajectory of creative thinking by M. K. Suyundikova, E. O. Zhumataeva, M. M. Suyundikov, E. I. Snopkova

“…The list of prerequisites includes the following types of thinking: positive, synergetic, associative, abstract, visual, algorithmic, divergent, lateral, Janusian, questioning style, combinatorial, intuitive, systemic, and critical. …”
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On the usage of sorting networks to control greenhouse climatic factors by Blanca C López Ramírez, Giovanni Guzmán, Wadee Alhalabi, Nareli Cruz-Cortés, Miguel Torres-Ruiz, Marco Moreno-Ibarra

“…The goal of this article is the application of a non-adaptive classification algorithm to support the variable management process for internal climate control. …”
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Experimental validation of cuproptosis-associated molecular signatures and their immunological implications in pulmonary tuberculosis by Xiaofang Liu, Xiaofang Liu, Qianqian Ma, Zhiming Li, Yong Xue, Jie Mi, Yuxi Li, Chunfeng Bai, Donglin Guo, Yinping Liu, Yan Liang, Jianqin Liang, Xueqiong Wu

“…Hub CRGs were screened out via least absolute shrinkage and selection operator (LASSO) regression and random forest (RF) algorithms. …”
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Flexible hardware for teaching and research in renewable energy and off-grid microgrids by Cristian Escudero-Quintero, Juan Pablo Guzman-Rodriguez, Juan Pablo Villegas-Ceballos, Elkin Edilberto Henao-Bravo, Daniel Gonzalez-Montoya

“…Microgrids are an active research field due to their integration of renewable and non-renewable energy sources alongside energy storage systems to supply both DC and AC loads. …”
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The Aerodynamically Driven Orientation Control of a Solar Panel on an Aircraft with Numerical Simulation by Alina Fazylova, Kuanysh Alipbayev, Kenzhebek Myrzabekov, Alisher Aden, Teodor Iliev

“…Based on the obtained characteristics, limiting conditions for the safe operation of the tracker are formulated. An adaptive control algorithm is introduced, minimizing a generalized objective function that accounts for angular deviation, aerodynamic loads, and current energy balance. …”
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Optimization of traction power supply system modes by voltage and reactive power to reduce losses by Badretdinov T.N.

“…The purpose of this article is to justify the selection of an algorithm for adaptive voltage regulation and parameters of the reactive power compensator based on continuous measurement of the external power supply system in the simulation of its operation modes, taking into account the influence of the traction power supply system. …”
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3D Digital Tomography Image Reconstruction to Determine the Dimensions of Discontinuities in the Material Using MATLAB by Muhammad Farid Azri, Iwan Istanto, Ismail Ismail, Yuli Astriani

“…The processes to get projection data consist of preprocessing to convert the images from red-green-blue to grayscale image format, segmentation to differentiate the object from the background using the Thresholding method and Active Contour Chan-Vese model, and morphological operations to visualize the image into 3D volumetric, followed by determining object dimensions, and subsequently the reconstruction results. …”
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Analysis of traffic patterns between Karkh and Rusafa by Mahdi Lateef Ishraq, Hussein Abed Alaa, Moutaz Asmael Noor

“…Accordingly, this study aims to evaluate the operational conditions of bridges during the morning and afternoon peak hours by calculating V/C to measure the level of service with the possibility of analyzing the improvement of the impact on accessibility between Karkh and Rusafa areas by adding two new bridges on the Tigris River using GIS software to find the best path with the shortest travel time between the start and end points of the O-D trip through the software algorithm. …”
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Optimizing smart inverter control for improved distribution network hosting capacity: A model predictive control approach by Muhammad Kamran Khan, Kimmo Kauhaniemi, Hussain Sarwar Khan

“…Furthermore, we delve into the implementation of direct power finite control set model predictive control (DP-FCS-MPC) aimed at augmenting hosting capacity. DP-FCS-MPC operates by directly using active power (P) and reactive power (Q) as control variables, thus facilitating fast, simple, and decoupled power control without intermediate current loops. …”
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Power quality solutions for rail transport using AI-based unified power quality conditioners by D. K. Nishad, A. N. Tiwari, Saifullah Khalid, Sandeep Gupta

“…Abstract This paper proposes an artificial intelligence-based Unified Power Quality Conditioner (AI-UPQC) and a unique Dynamic K-factor PI (DKPI) algorithm for PI-UPQC to address power quality issues in electrified railway systems. …”
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The authors would like to thank the staff of the Organisation of Transportation and Transport Management Department by B. S. Trofimov, I. S. Trofimova

“…The implementation and testing of the scientific and methodological approach were carried out according to the algorithm of the developed methodology in the operating conditions of a motor transport enterprise in the city of Omsk. …”
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