Leveraging Finite-Precision Errors in Chaotic Systems for Enhanced Image Encryption by B. M. El-Den, Saad Aldosary, Haitham Khaled, Tarek M. Hassan, Walid Raslan

“…This research explores the application of chaotic systems in generating pseudo-random numbers for encryption protocols, offering a novel perspective on addressing the challenges posed by limited computer precision in cryptographic applications. …”
Get full text

Optimal scheduling of district heat pumps conceived for implementation in Energy Management Systems to participate in demand response by Roberto Rocca, Stefano Leonori, Gregorio Fernández Aznar, Riccardo Toffanin, Luis Luengo-Baranguan

“…In the case of Heat Pumps (HPs), research efforts revolve around their integration in Energy Management Systems (EMS). …”
Get full text

An Investigation in Analyzing the Food Quality Well-Being for Lung Cancer Using Blockchain through CNN by Mohamed Abdelkader Aboamer, Mohamed Yacin Sikkandar, Sachin Gupta, Luis Vives, Kapil Joshi, Batyrkhan Omarov, Sitesh Kumar Singh

“…CNN algorithm has been trained with a huge number of images by altering the filters, features, epoch values, padding value, kernel size, and resolution. …”
Get full text

Spatiotemporal patterns of human mobility during the COVID-19 pandemic in China by Jingjing Liu, Lei Xu, Nengcheng Chen, Zeqiang Chen

Get full text

Construction exploration and application prospect of the large model in mining industry by Haijun WANG

“…It is pointed out that the construction of large models in the mining industry should follow the path of combining open access models and industry data, give full play to the tool attributes of large models to the application in scenarios, and build an application ecology combining “production-learning-research-application”, so as to help the development of new quality productivity in the mining industry.…”
Get full text

Surface ozone trend variability across the United States and the impact of heat waves (1990–2023) by K.-L. Chang, K.-L. Chang, B. C. McDonald, C. Harkins, C. Harkins, O. R. Cooper

Get full text

Snow Depth Retrieval Using Sentinel-1 Radar Data: A Comparative Analysis of Random Forest and Support Vector Machine Models with Simulated Annealing Optimization by Yurong Cui, Sixuan Chen, Guiquan Mo, Dabin Ji, Lansong Lv, Juan Fu

“…This study provides a valuable reference for snow depth retrieval research based on active microwave remote sensing techniques.…”
Get full text

Reliability and Quality of Complex Systems by D.N. Novomeisky, M.N. Piganov, E.T. Eskibaev

Criteria for Identifying the Basic Japanese Artonyms in the English Language: a Corpus-Based Approach by I. V. Kononova, E. Yu. Matsugina

“…Methodology and sources. The research is carried out in line with interlinguoculturology. …”
Get full text

EEG-Driven Arm Movement Decoding: Combining Connectivity and Amplitude Features for Enhanced Brain–Computer Interface Performance by Hamidreza Darvishi, Ahmadreza Mohammadi, Mohammad Hossein Maghami, Meysam Sadeghi, Mohamad Sawan

Get full text

A Hybrid CT-DEWCA-Based Energy-Efficient Routing Protocol for Data and Storage Nodes in Underwater Acoustic Sensor Networks by Imran Khan, Muhammad Rauf, Atif Jamil

“…This model enhances node placement by implementing a “strategic dual transmission” approach, which employs CT for short-distance data transfer and utilizes the DEWCA hybrid algorithm to select optimal relay nodes for long-distance communication. …”
Get full text

Decentralized Communication-Free Controller for Synchronous Solar-Powered Water Pumping with Emulated Neighbor Sensing by Roungsan Chaisricharoen, Wanus Srimaharaj, Punnarumol Temdee, Hamed Yahoui, Nina Bencheva

Get full text

Occlusion-Robust Multi-Target Tracking and Segmentation Framework with Mask Enhancement by Hao Sheng, Defa Zhang, Dazhi Yang, Da Yang, Xi Liu, Wei Ke

“…Multi-object tracking stands as one of the most prominent domains in Computer Vision and has significant research value and practical importance. However, due to the complexity of scenarios in the real world, especially in crowded environments with frequent target occlusion, existing MOT frameworks often struggle to achieve precise tracking results. …”
Get full text

Integrated Time Series Analysis, Clustering, and Forecasting for Energy Efficiency Optimization and Tariff Management by Anderson Jhones Passos Nascimento, Menaouar Berrehil El Kattel, Jose Antonio Fernandes de Macedo, Fernando Luiz Marcelo Antunes

“…This manuscript explores an advanced approach to the analysis of power demand and energy consumption, focusing on anomaly detection and the characterization of consumption patterns in different energy consumer units in the state of Ceará, Brazil. The research employs time series techniques and clustering algorithms to identify atypical consumption profiles and regular patterns based on average monthly consumption and contracted power demand. …”
Get full text

A neuronal imaging dataset for deep learning in the reconstruction of single-neuron axons by Liya Li, Liya Li, Ying Hu, Ying Hu, Xiaojun Wang, Pei Sun, Tingwei Quan

“…Advances in molecular labeling techniques and optical imaging technologies have spurred extensive research into the patterns of long-range neuronal projections. …”
Get full text

Disease Detection on Cocoa Crops Based on Computer-Vision Techniques: A Systematic Literature Review by Joan Alvarado, Juan Felipe Restrepo-Arias, David Velásquez, Mikel Maiza

“…(Q2) What are the main Machine Learning algorithms and techniques used to detect and classify diseases in cocoa? …”
Get full text

Multiple Regression-Based Dynamic Amplification Factor Investigation of Monorail Tourism Transit Systems by Hong Zhang, Changxing Wu, Wenlong Liu, Shiqi Wei, Yonggang Wang

“…Currently, there is limited theoretical research on the vehicle–bridge coupling vibration and dynamic amplification factor (DAFs) of this system. …”
Get full text

Abnormal Data Identification and Reconstruction Based on Wind Speed Characteristics by Mao Yang, Tian Peng, Wei Zhang, Xin Su, Chao Han, Fulin Fan

“…High availability of wind power data is the basis for wind power research, but there are a large number of abnormal data in actual collected data, which seriously affects analysis of wind power law and reduces prediction accuracy. …”
Get full text

The Optimization Design of Variable Valve Parameters for Internal Combustion Engines Considering the Energy Consumption of a Composite Electromagnetic Valve Mechanism by Xinyu Fan, Juyi Han, Jie Yin, Li Zheng, Wei Shao

Get full text

Forecasting water quality indices using generalized ridge model, regularized weighted kernel ridge model, and optimized multivariate variational mode decomposition by Marjan Kordani, Mohsen Bagheritabar, Iman Ahmadianfar, Arvin Samadi-Koucheksaraee

“…The proposed framework includes a new hybrid machine learning (ML) model based on generalized ridge regression and kernel ridge regression with a regularized locally weighted (GRKR) method. This research developed an optimized multivariate variational mode decomposition (OMVMD) technique, optimized by the Runge-Kutta algorithm (RUN), to decompose the input variables. …”
Get full text