A Novel SOH Estimation Method for Lithium-Ion Batteries Based on the PSO–GWO–LSSVM Prediction Model with Multi-Dimensional Health Features Extraction by Xu He, Zhengpu Wu, Jinghan Bai, Junchao Zhu, Lu Lv, Lujun Wang

“…To improve LSSVM model accuracy and efficiency, this paper develops a novel prediction model that uses particle swarm optimization (PSO) combined with grey wolf optimization (GWO) algorithms to optimize the LSSVM model. The generalization performance of the proposed method is validated through comparative experiments using a battery dataset provided by the Center for Advanced Life Cycle Engineering (CALCE) Research Center at the University of Maryland. …”
Get full text

A semi-supervised deep neuro-fuzzy iterative learning system for automatic segmentation of hippocampus brain MRI by M Nisha, T Kannan, K Sivasankari

“…Unlike the existing approaches such as UNet and Convolutional Neural Networks (CNN), the proposed algorithm generates an image that is similar to a real image by learning the distribution much more quickly by the semi-supervised iterative learning algorithm of the Deep Neuro-Fuzzy (DNF) technique. …”
Get full text

Improved MViTv2-T model for insulator defect detection by Fuhong Meng, Guowu Yuan, Hao Zhou, Hao Wu, Yi Ma

Get full text

Artificial Neural Network Text Generation as a New Type of Masking the Authorship by Ogorelkov Igor', Mahaeva Elizaveta

“…The article describes linguistic features typical of generated texts and provides each case with comparative examples. The prospects for further research lie in an in-depth study of complex AI-generated text structures, e.g., preloaded idiosyncratic texts. …”
Get full text

Routing Protocols for Vehicular Delay Tolerant Networks: A Survey by Hyunwoo Kang, Syed Hassan Ahmed, Dongkyun Kim, Yun-Su Chung

“…Due to the several characteristics match, new research paradigm named as vehicular delay tolerant networks (VDTNs) is introduced. …”
Get full text

AI-Driven Drought Monitoring: Advanced Machine Learning Techniques for Early Prediction by Vij Priya, Tiwari Ankita

“…Moreover, the research conducts a comparative evaluation of various machine learning models to identify the most effective algorithms for different climatic zones and crop types. …”
Get full text

Possibilities of non-operative and minimally invasive organ-preserving spleen injuries management in blunt abdominal injuries in adults by Y. V. Gavrishuk, V. A. Manukovskiy, A. N. Tulupov, A. E. Demko, E. A. Kolchanov, V. E. Savello, D. V. Kandyba, I. V. Kazhanov, S. A. Platonov, A. S. Kazankin

Get full text

Block ciphers identification scheme based on the distribution character of randomness test values of ciphertext by Yang WU, Tao WANG, Meng XING, Jin-dong LI

“…By researching deficiency of current encryption algorithms identification schemes，a block ciphers identification scheme is proposed based on the distribution character of randomness test values for ciphertext.Firstly，the numbers of randomness test values for AES，Camellia，DES，3DES，SMS4 are respectively calculated based on the frequency test，frequency test in block，run test and originally clustered by the k-means algorithm.Secondly，in order to identify the block ciphers in each clustering，the dimensions of eigenvectors to the frequency test，frequency test in block，run test are calculated on the principle of reducing the comparability between eigenvectors.Eventually，the experimental results of AES，Camellia，DES，3DES，SMS4 demonstrate that the proposed scheme effectively identified the above representative block ciphers，and the correlative research can promote the further encryption algorithms identification research.…”
Get full text

Hover Flight Improvement of a Quadrotor Unmanned Aerial Vehicle Using PID Controllers with an Integral Effect Based on the Riemann–Liouville Fractional-Order Operator: A Determinis... by Gustavo Delgado-Reyes, Jorge Salvador Valdez-Martínez, Pedro Guevara-López, Miguel Angel Hernández-Pérez

“…The hovering flight of a quadrotor Unmanned Aerial Vehicle (UAV) refers to maintaining the aircraft in a fixed position in the air, without lateral, vertical, or rotational movements, using only the vehicle’s control systems to maintain proper balance in all spatial dimensions. Algorithms and control systems have been developed to continuously adjust motor speeds to counteract deviations from the desired position and achieve effective hovering flight. …”
Get full text

Emergency Medical Care for Victims with Crush Syndrome at the Pre-Hospital Stage by V. Orlyk

“…Sources included PubMed, Scopus, Web of Science, Elsevier, ResearchGate, Cochrane Library, Science Direct, and Free Medical Journals. …”
Get full text

Trade-off between gradient measurement efficiency and expressivity in deep quantum neural networks by Koki Chinzei, Shinichiro Yamano, Quoc Hoan Tran, Yasuhiro Endo, Hirotaka Oshima

Get full text

BIMLP Model Based on Deep Learning for Predicting Electrical Load Demand by Somayeh Talebzadeh, Reza Radfar, Abbas Toloei Ashlaghi

“…To address this challenge, this research proposes a novel hybrid machine-learning approach for predicting electricity demand. …”
Get full text

Modified Immediate Sequential Bilateral Cataract Surgery (Clinical Cases) by I. B. Medvedev, D. F. Pokrovsky

Get full text

Two-Level Distributed Multi-Source Information Fusion Model for Aphid Monitoring and Forecasting in the Greenhouse by Xiaoyin Li, Lixing Wang, Min Dai, Yongji Zhang, Wei Su, Mingyou Wang, Hong Miao

Get full text

Robust Clustering of Open Access Journal Based on Scopus Journal Metrics Database by Rizki Agung Wibowo, Khoirin Nisa, Amril Samosir

“…So that researchers can choose journals in clusters 1, 2, and 3 as a place to publish their research by adjusting the journal's scope. …”
Get full text

Validation of salivary uric acid remote self-monitoring for early prediction of hypertensive disorders of pregnancy: study protocol for a prospective, observational, multicentre co... by Isabel Reading, Amarnath Bhide, Ramesh Ganapathy, Baskaran Thilaganathan, Basia Chmielewska

“…Data on pregnancy outcomes will be collected from the medical notes, compared with the predictions made by the algorithm and subjected to statistical analysis.Ethics and dissemination Approval has been obtained from Cambridge East Research Ethics Committee (REC reference 24/EE/0123), Medicines and Healthcare products Regulatory Agency (CI/2024/0038/GB) and Health Research Authority (IRAS ID 337290). …”
Get full text

Analysis of autonomous UAV navigation methods in GPS dead zones by A.R. Kravchuk, A.H. Tkachuk, O.O. Dobrzhanskyi, Yu.V. Bogoyavlenska, D.Yu. Tkachuk

“…The main challenges that slow down the widespread implementation of the analyzed systems in practical applications are identified, namely the lack of unified testing methods, energy consumption of complex systems, lack of realistic datasets, the problem of integrating algorithms into various control systems. Promising directions for further research are identified, which include the development of energy-efficient navigation solutions, the integration of deep learning, and the creation of specialized hardware. …”
Get full text

Machine learning-based model for acute asthma exacerbation detection using routine blood parameters by Youpeng Chen, Junquan Sun, Yabang Chen, Enzhong Li, Jiancai Lu, Huanhua Tang, Yifei Xie, Jiana Zhang, Lesi Peng, Haojie Wu, Zhangkai J. Cheng, Baoqing Sun

Get full text

A novel swarm intelligence-based approach for solving optimal power flow problems in modern power systems by Haewon Byeon, Wajdi Alghamdi, Munni Evin, M. Sucharitha, D. David Neels Ponkumar, A. Prakash, J. Sunil

“…In order to solve the optimum power flow difficulties related to the C-UPFC, this research suggested an Improved Pelican optimization algorithm (IPOA). …”
Get full text

Evaluation of Plaid Models in Biclustering of Gene Expression Data by Hamid Alavi Majd, Soodeh Shahsavari, Ahmad Reza Baghestani, Seyyed Mohammad Tabatabaei, Naghme Khadem Bashi, Mostafa Rezaei Tavirani, Mohsen Hamidpour

Get full text