A Novel Back Propagation Neural Network Based on the Harris Hawks Optimization Algorithm for the Remaining Useful Life Prediction of Lithium-Ion Batteries by Yuyang Zhou, Zijian Shao, Huanhuan Li, Jing Chen, Haohan Sun, Yaping Wang, Nan Wang, Lei Pei, Zhen Wang, Houzhong Zhang, Chaochun Yuan

“…Considering the problem of local convergence, Gaussian mutation is introduced to improve the search ability of the algorithm. Subsequently, two key health factors are selected as input features for the model, including the constant-current charging isovoltage rise time and constant-current discharging isovoltage drop time. …”
Get full text

An optimized solution for tackling effects of climate change on an educational building based on net zero energy technique by Kimiya Aram, Roohollah Taherkhani

“…In order to minimize the load of cooling, heating and the initial investment of the building for the current and future climate, the genetic algorithm with non-globe sorting was used in the jEPlus environment. …”
Get full text

Optimization of spatio-temporal ozone (O3) pollution modeling using an ensemble machine model learning with a swarm-based metaheuristic algorithm by Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi-Niaraki, Armin Sorooshian, Lingbo Liu, Shuming Bao, Soo-Mi Choi

“…This research fills a crucial gap in current modeling approaches by proposing a novel methodology that integrates an ensemble machine-learning algorithm with swarm-based metaheuristic optimization algorithm. …”
Get full text

Algorithmic Analysis of Queuing System with Varying Number of Servers, Phase-Type Service Time Distribution, and Changeable Arrival Process Depending on Random Environment by Alexander Dudin, Olga Dudina, Sergei Dudin

Get full text

From manual clinical criteria to machine learning algorithms: Comparing outcome endpoints derived from diverse electronic health record data modalities. by Shreya Chappidi, Mason J Belue, Stephanie A Harmon, Sarisha Jagasia, Ying Zhuge, Erdal Tasci, Baris Turkbey, Jatinder Singh, Kevin Camphausen, Andra V Krauze

“…Yet, PFS is often missing from publicly available datasets due to the current subjective, expert, and time-intensive nature of generating PFS metrics. …”
Get full text

Application of Twisting Controller and Modified Pufferfish Optimization Algorithm for Power Management in a Solar PV System with Electric-Vehicle and Load-Demand Integration by Arunesh Kumar Singh, Rohit Kumar, D. K. Chaturvedi, Ibraheem, Gulshan Sharma, Pitshou N. Bokoro, Rajesh Kumar

“…Active and reactive powers are controlled by a proportional–integral controller, whereas energy storage batteries improve the quality of energy by storing both current and voltage, which have an impact on steady-state error. …”
Get full text

Editorial:  Applied Computing 2023 by Yousra Abdul Alsahib S. Aldeen, Yusliza Yusoff, Samira Naji Kadhim

Get full text

A Method Based on CNN–BiLSTM–Attention for Wind Farm Line Fault Distance Prediction by Ming Zhang, Qingzhong Gao, Baoliang Liu, Chen Zhang, Guangkai Zhou

“…The research results show that, compared with the random forest algorithm, decision tree algorithm, CNN, and LSTM neural network, the proposed method significantly improved the location accuracy and is more suitable for the fault distance measurement requirements of collector lines in the complex environments of wind farms. …”
Get full text

A Method of Fatigue Driving State Detection Based on Deep Learning by XIONG Qunfang, LIN Jun, YUE Wei

“…Current domestic and overseas fatigue recognition algorithms are implemented using fatigue features which are mostly singular and man-made. …”
Get full text

A Degradation Warning Method for Ultra-High Voltage Energy Devices Based on Time-Frequency Feature Prediction by Pinzhang Zhao, Lihui Wang, Jian Wei, Yifan Wang, Haifeng Wu

“…This study addresses the issue of resistance plate deterioration in ultra-high voltage energy devices by proposing an improved symplectic geometric mode decomposition-wavelet packet (ISGMD-WP) algorithm that effectively extracts the component characteristics of leakage currents. …”
Get full text

WFQ ENHANCEMENT USING INTELLIGENT DISTRIBUTED QUEUE BASED ANFIS FOR PACKET SWITCHING NETWORK by Sh. A. Ali, K. A. Nassar

“…The proposed method ANFIS solving the problem of complexity run time for WFQ algorithm. It uses ANFIS to calculate the virtual finish time for packets instead of mathematically way in the ordinary WFQ. …”
Get full text

THE CONTROLLER OF FUZZY LOGIC IN THE MANAGEMENT OF TECHNOLOGICAL PROCESSES by S. V. Shilkina, E. N. Fokina

“…Introduction. The current stage of progress is associated with the development and implementation of intelligent systems and technologies that provide the formation of clear solutions based on fuzzy rules, fuzzy conclusion and fuzzy control. …”
Get full text

A Cooperative Control Method between OLTC and Thyristors for High Power Industrial Rectifier System by LIU Wenye, LUO Longfu, ZHANG Zhiwen, HUANG Zhao, ZHANG Xiaofeng

Get full text

Development of psychological and educational aspects of interaction between medical workers and patients by T. V. Ryabova, A. A. Mutigullina

“…To develop a patient education algorithm used by medical workers. The leading method for studying this problem is a pedagogical experiment, as well as a statistical processing of quantitative research results. …”
Get full text

Ensemble distribution model of Muga Silkworm (Antheraea assamensis) and its primary host plant Soalu (Litsea monopetala) in defined climate space by Kuladip Sarma, Vivek Chetry, Amal Bawri, Keshob Jyoti Borah, Bulbuli Khanikor, Tarali Kalita, Banasri Mech, Malabika Kakati Saikia, Manas Das

“…Altogether two model algorithms were used to get the final ensemble model for both the MSW and the two primary host plants. …”
Get full text

Impact of Climate Change on the Narrow Endemic Herb Psilopeganum sinense (Rutaceae) in China by Ruixiong Deng, Kaitong Xiao, Xin Chen, Beibei Huang, Haoran Li, Lin Wu, Hang Ning, Hui Chen

“…In this study, we aimed to use the random forest (RF) algorithm to analyze the redistribution of P. sinense across several critical climatic periods. …”
Get full text

THE SIGNALS TREATMENT ALGORITHM FOR SATELLITE RADIO NAVIGATIONAL EQUIPMENT CONSUMERS INTENDED TO PROVIDE A PRECISION APPROACH TO THE RUNWAY IN CONDITIONS OF RADIO INTERFERENCE IMMU... by G. V. Krinitskiy

“…The mathematical modeling of the algorithm during the conditions of signals multipath distribution was held.…”
Get full text

Towards automated and real-time multi-object detection of anguilliform fishes from sonar data using YOLOv8 deep learning algorithm by Tao Huang, Xiaoqin Zang, Grigoriy Kondyukov, Zhangshuan Hou, Guanze Peng, Joachim Pander, Josef Knott, Juergen Geist, Meklit Berihun Melesse, Paul Jacobson, Zhiqun Daniel Deng

Get full text

A Deep Learning Model for Identifying the Risk of Mesenteric Malperfusion in Acute Aortic Dissection Using Initial Diagnostic Data: Algorithm Development and Validation by Zhechuan Jin, Jiale Dong, Chengxiang Li, Yi Jiang, Jian Yang, Lei Xu, Ping Li, Zhun Xie, Yulin Li, Dongjin Wang, Zhili Ji

Get full text

Copyright Research Protocol for Comprehensive Assessment of the Dento-Alveolar Complex in Patients with Temporomandibular Joint Disorders: Clinical Cases by S. V. Tekucheva, E. A. Bazikyan, Ya. I. Afanasyeva, M. A. Postnikov

“…Background. Currently, the issues of diagnosis and treatment of patients with dentoalveolar injuries combined with temporomandibular joint disorders are highly relevant due to a progressive increase in the number of cases of this pathology among the population. …”
Get full text