An Improved Artificial Neural Network Model for Effective Diabetes Prediction by Muhammad Mazhar Bukhari, Bader Fahad Alkhamees, Saddam Hussain, Abdu Gumaei, Adel Assiri, Syed Sajid Ullah

“…Data analytics, machine intelligence, and other cognitive algorithms have been employed in predicting various types of diseases in health care. …”
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Deep learning-based time series prediction for precision field crop protection by Tao He, Meijin Li, Dong Jin

“…We introduce the Resource-Aware Adaptive Decision Algorithm (RAADA), which leverages reinforcement learning to translate SADF-Net’s predictions into optimized strategies for resource allocation, such as irrigation scheduling and pest control. …”
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Boundary delineation and stability assessment of post-inrush water-immersed coal pillars based on integrated microseismic monitoring and field analysis by Yugeng Zhang, Heng Zhang, Hongwei Lian, Zhilong He, Wenhao Cao, Caijun Shao, Junqi Wei

“…Abstract The stability of flooded coal pillars has long been a challenging issue in coal pillar research, especially during the recovery of production after water inrush disasters. …”
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Prediction Analysis for Business To Business (B2B) Sales of Telecommunication Services using Machine Learning Techniques by Oryza Wisesa, Andi Andriansyah, Osamah Khalaf

“…In addition, at the end of this research, other measures and techniques used to predict sales were introduced. …”
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Influence of simulated traffic on foundation pit deformation via machine vision technology by Xi Wu, Miao-Miao Sun, Zhi-Yu Xie, Song-Qiang Chen, Zhen-Yu Zhang, Xing-Lang Fan, Hai-Min Qian

“…Abstract This study introduces a novel application of non-contact computer vision technology to simulate and analyse the impact of traffic loads on deformation in soft soil foundation pits, using vehicle flow data captured by roadside cameras. The research employs the YOLO (You Only Look Once) detector coupled with a multi-object tracking algorithm for vehicle classification and tracking. …”
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Aviation industry technological sovereignty optimization problem formulation by I. Y. Bodrova, A. V. Gostev, G. D. Fainburg

“…This publication is the main one for the further development of an algorithm that will allow solving priority tasks of continued airworthiness of both the fleet in operation and newly developed aircraft.…”
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A cartographic generalization method for 3D visualization of trajectories in space–time cubes: case study of epidemic spread by Fei Yang, Jie Shen, Fengzhen Zhu, Junrui Zhang

“…While many studies focus on 2D trajectory visualization, research on visual overload in 3D space remains limited. …”
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Machine Learning for Earthquake Emergency Evacuation: Site Selection and Neighborhood Navigation by Amirmasoud Amiran, Behrouz Behnam, Sanaz Seyedin

“…This research is first to introduce a machine learning-based method to enhance the quality and speed of selecting emergency evacuation centers in Tehran, optimizing the use of the city’s current capacities. …”
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Forecasting technique of transport need for population of cities with high tourist potential during peak seasons by N. N. Yakunin, N. V. Yakunina, A. F. Fattakhova, A. A. Postnikova, M. R. Yanuchkov

“…The main result of the work is a methodology for determining the potential transport needs of the population and vacationers in cities with high tourism potential for the development and adjustment of routes for regular passenger transportation by road during the holiday season, which represents the scientific novelty of the research. The technique contains a mathematical model and algorithm.Discussion and conclusion. …”
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Analysis of Electromagnetic Characteristics of Outer Rotor Type BLDC Motor Based on Analytical Method and Optimal Design Using NSGA-II by Tae-Seong Kim, Jun-Won Yang, Kyung-Hun Shin, Gang-Hyeon Jang, Cheol Han, Jang-Young Choi

“…The research validates the proposed analytical approach against the finite element analysis method (FEM) results to confirm its accuracy.…”
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Exploring the typhoon intensity forecasting through integrating AI weather forecasting with regional numerical weather model by Hongxiong Xu, Yang Zhao, Zhao Dajun, Yihong Duan, Xiangde Xu

“…This is largely due to constraints inherent in regression algorithm properties including deep neural networks and inability of coarse resolution to capture the finer-scale weather processes. …”
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Blockchain-based heterogeneous resource configuration scheme in computing power network by Qiang Gao, Chunyu Liu, Lei Wang, Yiqing Liu, Yueqiang Xu

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Energy-efficient wireless sensor network for real-time environmental monitoring: Simulink-based design by Fatai Olatunde Adunola, Victor Nnamdi Omeke, Ashraf Adam Ahmad, Asharimantun Reuben Bunu, Alfred John Nkohon, Emmanual Obiajulu

“…Abstract This research focuses on designing an Energy-efficient Wireless Sensor Network for monitoring environmental parameters that tracks variables such as temperature, humidity, air quality, and noise levels in real time. …”
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Operational Identification of Resistances of Wires of 380 V Distribution Networks by Automated Accounting Systems by M. I. Danilov, I. G. Romanenko

“…A method (algorithm) is proposed that allows determining unknown, unequal complex resistances of inter-subscriber sections of the distribution network. …”
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Quantitative Inversion of Water-Inrush Incidents in Mountain Tunnel beneath a Karst Pit by Fei Wan, Peiwen Xu, Peng Zhang, Hongfu Qu, Lihua Wang, Xuan Zhang

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Enhanced accuracy in state-of-charge estimation for lithium-ion batteries in electric vehicles using augmented adaptive extended Kalman filter by Ravish Yadav, Munish Manas, Rajesh Kumar Dubey

“…The effectiveness of the AAEKF algorithm is shown by simulation results and confirmed by comparison with data from LiFePO4 battery research. …”
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DEDICATING PROJECT MANAGEMENT TOOLS TO DIGITAL MARKETING EFFECTIVENESS by Tinatin Mshvidobadze, Maka Sosanidze

“…Based on the results of this research, we present a list of some digital tools that can be used in project marketing. …”
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Spatially Resolved River Monitoring by UAV-Borne 4D-Imaging Radar: Experiments and Preliminary Validation by Giordano Cicioni, Federico Alimenti, Timo Grebner, Julian Kanz, Ron Riekenbrauck, Christian Waldschmidt

“…There is growing research interest in monitoring river discharge using noncontact sensors that do not require direct interaction with the water and can be mounter on unmanned aerial vehiclesto reach inaccessible areas. …”
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Underwater Acoustic Measurements to Estimate Wind and Rainfall in the Mediterranean Sea by Sara Pensieri, Roberto Bozzano, Jeffrey A. Nystuen, Emmanouil N. Anagnostou, Marios N. Anagnostou, Renzo Bechini

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PEMANFAATAN DIGITAL TERRAIN MODEL HASIL FOTOGRAMETRI UNMANED AERIAL VEHICLE UNTUK ESTIMASI KETINGGIAN GENANGAN AIR BANJIR HASIL DETEKSI CITRA SYNTHETIC APPERTURE RADAR by Hariady Indra Mantong

“…However, DSM doesn’t represent itself as a part of topography, that is why DSM should be converted into Digital Terrain Model (DTM). This research is to investigate the accuracy of UAV photogrammetry’s DTM for hydraulic modeling purpose. …”
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