QuantumGS-Box—A Key-Dependent GA and QRNG-Based S-Box for High-Speed Cloud-Based Storage Encryption by Anish Saini, Athanasios Tsokanos, Raimund Kirner

“…In this paper, we propose the QuantumGS-box, which is a dynamic S-box for high-speed cloud-based storage encryption generated by bit shuffling with a genetic algorithm and a quantum random number generator (QRNG). …”
Get full text

Quantum Perceptron in Predicting the Number of Visitors to E-Commerce Websites in Indonesian by Solikhun Solikhun, Dinda Carissa Arishandy, Ela Roza Batubara, Poningsih

“…The research results show that the Quantum Perceptron algorithm can make predictions very well compared to the classical perceptron, proven by the Quantum Perceptron having a perfect accuracy of 100% with a total of 2 epochs while the classical perceptron has 100% accuracy with a total of 10 epochs. …”
Get full text

A novel LSTPA methodology for managing energy in electrical/thermal microgrids through CHP, battery resources, thermal storage, and demand-side strategies by Elmira Akhavan Maroofi, Mahmoud Samiei Moghaddam, Azita Azarfar, Reza Davarzani, Mojtaba Vahedi

“…The Large-Scale Two-Population Algorithm (LSTPA) is employed to solve the problem, with the IEEE 69-bus network as a case study. …”
Get full text

DIGEST: Fast and Communication Efficient Decentralized Learning With Local Updates by Peyman Gholami, Hulya Seferoglu

“…Gossip algorithms (both synchronous and asynchronous versions) suffer from high communication cost, while random-walk based learning experiences increased convergence time. …”
Get full text

Online high speed detection method for end face quality of cored filter rods under complex conditions by Yuhui Zhou, Bin Wei, Guang Yang, Jie Li, Hongjie Chang

“…As the production speed of filter rods increases, the traditional inspection methods cannot meet the real-time and accuracy requirements in a high-speed environment, while the restricted production environment and more disturbing factors lead to an increase in the detection error. …”
Get full text

Dynamic Efficiency Analysis of Airborne Cross-Eye Jamming Operations by Sun Jiandong, Chen Jiabei, Gong Songtao, Xu Zhiwei, You Shixun

“…Additionally, it introduces a vector guidance algorithm incorporating physical constraints to model and assess the combat effectiveness of cross-eye jamming in dynamic operational scenarios. …”
Get full text

Intelligent Classification Method for Rail Defects in Magnetic Flux Leakage Testing Based on Feature Selection and Parameter Optimization by Kailun Ji, Ping Wang, Yinliang Jia

“…For real-world limited samples (100 sets), adaptive optimization achieved 80% accuracy while boosting minority class (“spalling”) F1-score by 0.25 with 50% false alarm reduction. …”
Get full text

NeuralMie (v1.0): an aerosol optics emulator by A. Geiss, P.-L. Ma

“…It can represent core-shell scattering and, by directly estimating bulk optical properties, is more efficient than existing Mie code and Mie code emulators while incurring negligible error compared to existing aerosol optics parameterization schemes (0.08 % mean absolute percentage error).…”
Get full text

Bulk-local dS 3 holography: the matter with T T ¯ $$ T\overline{T} $$ + Λ2 by Gauri Batra, G. Bruno De Luca, Eva Silverstein, Gonzalo Torroba, Sungyeon Yang

“…Abstract We propose an algorithm which builds a concrete dual for large-radius 3d de Sitter with a timelike York boundary for both gravity and bulk effective fields. …”
Get full text

Research on the Method of Crop Pest and Disease Recognition Based on the Improved YOLOv7-U-Net Combined Network by Wenchao Xiang, Zitao Du, Xinran Liu, Zehui Lu, Yuna Yin

“…Experimental results show the improved algorithm achieves 97.49% detection accuracy, with mean average precision (mAP) reaching 96.91% and detection speed increasing to 90.41 FPS. …”
Get full text

About the automation of procedures to assess the operation parameters of by-pass turbojet engines (BTJE) by B. A. Chichkov

“…The described approach is applicable to a broad list of engines due to the common character of algorithms for the parameter assessment using nomograms. …”
Get full text

Multi-exit Kolmogorov–Arnold networks: enhancing accuracy and parsimony by James Bagrow, Josh Bongard

“…This architecture provides deep supervision that improves training while discovering the right level of model complexity for each task. …”
Get full text

Application of the Lagrange Equation for Intelligent Sensor Vibration Control for Power Network Monitoring by Xiaojing Cheng

“…The TMD natural frequency is 14.179 rad/s and the damping ratio is 0.0432 by the DH optimization method, while the TMD natural frequency is 14.1812 rad/s, and the damping ratio is 0.0436 by the augmented Lagrangian optimization algorithm. …”
Get full text

Improvement of switched structure semi‐active battery/supercapacitor hybrid energy storage system for electric vehicles by Ihor Shchur, Ihor Bilyakovskyy, Valentyn Turkovskyi

“…They expand the operating range of the SC bank, while the DC‐bus voltage range remains relatively small. …”
Get full text

The Impact of Road Functions on Road Congestions Based on POI Clustering: An Empirical Analysis in Xi’an, China by Hui Zhu, Kaiqi Zhang, Changjun Wang, Lujin Jia, Siyu Song

“…We adopted the DBSCAN algorithm to cluster POIs and use the mixed POI clusters to label the socio-economic functions of roads. …”
Get full text

Time-windows constrained electric logistics vehicle routing optimization model and its dispatching benefits analysis in the energy market by Jiwei Wang, Jun Mo, Hui Yang

“…For the price-based demand response mechanism, the electric logistics vehicle routing with time windows optimization model is constructed, with the travel routes and distance matrix calculated using the adaptive chaotic genetic algorithm and dueling Deep Q-Network, respectively. …”
Get full text

Computational Complexity of Isometric Tensor-Network States by Daniel Malz, Rahul Trivedi

“…We also show that while weakly injective isoTNSs can support long-range correlations, strongly injective isoTNSs are approximate Markov states with exponentially decaying correlations. …”
Get full text

Underwater Acoustic Signal LOFAR Spectrogram Denoising Based on Enhanced Simulation by Tianxiang He, Sheng Feng, Jie Yang, Kun Yu, Junlin Zhou, Duanbing Chen

“…In this paper, an enhanced simulation algorithm, which considers integrating features of target line spectrum and ocean environmental noise, is proposed to construct a large-scale training sample set. …”
Get full text

BEST PRACTICE IN ENHANCING SOCIO-EMOTIONAL LEARNING IN PRIMARY SCHOOL THROUGH COMPUTATIONAL THINKING by Antoaneta-Firuţa TACEA, Anişoara DUMITRACHE, Beatrice ALMĂŞAN, Dana MANOLACHE

“…Computational thinking is a structured, cognitive process centered on decomposition, pattern recognition, and algorithm development, which is used for problem solving in a logical and organized manner. …”
Get full text

Intelligent and automatic irrigation system based on internet of things using fuzzy control technology by Xinying Liu, Zhihuan Zhao, Amin Rezaeipanah

“…The proposed system provides a scalable and adaptable solution for modern farming, ensuring better irrigation management while conserving essential resources.…”
Get full text