Application of Mordell–Weil lattices with large kissing numbers to acceleration of multiscalar multiplication on elliptic curves by Koshelev Dmitrii

“…As usual, the resulting curve points can be then regularly used in the main stage of an MSM algorithm to avoid repeating computations. Seemingly, this is the first usage of lattices with large kissing numbers in cryptography, while such lattices have already found numerous applications in other mathematical domains. …”
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Remote Sensing Image Enhancement Via Edge-Preserving Multiscale Retinex by Lu Teng, Feng Xue, Qiudi Bai

“…In this paper, we propose a novel algorithm to enhance the contrast of remote sensing image while avoiding color distortion and detail loss. …”
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Impact of dimensionality reduction techniques on student performance prediction using machine learning by Koushik Roy, Huu-Hoa Nguyen, Dewan Md. Farid

“…The results show that ADRA achieves an average dimensionality reduction factor of 6.2 while maintaing comprable accuracy with other mehtods. …”
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Procedure for Separate Accounting of Interest and Exchange Rate Components of the Fair Value of a Set of Financial Instruments: IFRS by A. Yu. Kuz’min

“…In particular, it has worked out an algorithm for accounting and mathematical evaluation of exchange rate differences when hedging cash flows of debt instruments with currency forwards. …”
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Hierarchical predictive optimal control for range extension of EV with ANN based torque control for IPMSM drives by Lekshmi S, Lal Priya P S

“…This study presents a novel methodology to enhance the energy efficiency of Electric Vehicles (EVs) while maintaining dynamic stability and driving comfort, even on uneven roads, using onboard vehicle measurements. …”
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Improving data sharing and knowledge transfer via the Neuroelectrophysiology Analysis Ontology (NEAO) by Cristiano A. Köhler, Sonja Grün, Michael Denker

“…On the other hand, different software codes can implement the same analysis algorithm, while adopting different names to identify functions and parameters. …”
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Dynamic emotion intensity estimation from physiological signals facilitating interpretation via appraisal theory. by Isabel Barradas, Reinhard Tschiesner, Angelika Peer

“…In our experiment, emotions of varying intensities are induced for three distinct qualities while physiological signals are measured, and participants assess their subjective feeling in real time. …”
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Convergence Analysis for Differentially Private Federated Averaging in Heterogeneous Settings by Yiwei Li, Shuai Wang, Qilong Wu

“…Federated learning (FL) has emerged as a prominent approach for distributed machine learning, enabling collaborative model training while preserving data privacy. However, the presence of non-i.i.d. data and the need for robust privacy protection introduce significant challenges in theoretically analyzing the performance of FL algorithms. …”
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Bidding strategies for virtual power plants under the electricity-carbon joint market taking into account wind and solar uncertainties by Shuangchi ZHAO, Hong LIN, Haiyun WANG

“…The upper level maximizes the VPP's profit, while the lower level maximizes social welfare in the joint market. …”
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Sensor placement optimization for critical-grid coverage problem of indoor positioning by Hui Wu, Zhe Liu, Jin Hu, Weifeng Yin

“…As a conclusion, the proposed method could reduce the cost of sensor deployment while ensuring the accuracy of indoor positioning for critical areas. …”
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Anomaly Detection Approach Based on Deep Neural Network and Dropout by Zaid Hussien et al.

“…However, many challenges arise while developing flexible and efficient network intrusion detection system (NIDS) for unforeseen attacks with high detection rate. …”
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Distributed Event-Triggered-Based Adaptive Formation Tracking Control for Multi-UAV Systems Under Fixed and Switched Topologies by Chengqing Liang, Lei Liu, Lei Li, Dongmei Yan

“…Finally, the validity of the designed algorithm is confirmed by numerical examples and software-in-the-loop (SIL) simulation experiments.…”
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Lightweight anomaly detection model for UAV networks based on memory-enhanced autoencoders by HU Tianzhu, SHEN Yulong, REN Baoquan, HE Ji, LIU Chengliang, LI Hongjun

“…Experiments on public data sets and NS-3 simulation data sets show that while ensuring lightweight, the proposed model reduces the false negative rate by an average of 35.9% and 48% compared with the baseline method.…”
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Hybrid modeling for optimizing electrospun polyurethane nanofibrous membranes in air filtration applications by Majid Sohrabi, Milad Razbin

“…However, optimizing their structural characteristics to maximize filtration efficiency while minimizing pressure drop remains challenging due to the complexity of the electrospinning process. …”
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Accurate Solar Radiation Forecasting Through Feature-Enhanced Decision Trees and Wavelet Decomposition by Gaizen Soufiane, Abbou Ahmed, Fadi Ouafia

“…This study explores the efficacy of the decision tree algorithm in predicting solar power generation, addressing the inherent variability in photovoltaic (PV) energy production due to weather conditions. …”
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Comparing the Effect of Age, Gender, and Desired Speed on Car-Following Behavior by Using Driving Simulator by Ehsan Ramezani-Khansari, Masoud Tabibi, Fereidoon Moghadas Nejad, Mahmoud Mesbah

“…The CF model for each driver was calibrated by genetic algorithm. Gender and DS were effective in CF behavior, while the age factor was not. …”
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Automatic speech analysis combined with machine learning reliably predicts the motor state in people with Parkinson’s disease by Tabea Thies, Elisa Mallick, Johannes Tröger, Ebru Baykara, Doris Mücke, Michael T. Barbe

“…Acoustic speech features were automatically extracted with the algorithm given by the Dysarthria Analyzer. Results suggest that acute levodopa intake improves phonatory-respiratory speech functions and speech planning abilities, while the articulatory system remains unaffected. …”
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New method for file deduplication in cloud storage by Chao YANG, Qian JI, Si-chun XIONG, Mao-zhen LIU, Jian-feng MA, Qi JIANG, Lin BAI

“…Deduplication is widely used in cloud storage service to save bandwidth and storage resources,however,the security of client deduplication still flaws in an external attack to access a user’s private data.Xu-CDE,a deduplication solution of encrypting data for multi-client was first proposed,which could protect the privacy of data from the external attackers and honest but curious server,with favorable theoretical meaning and representativeness.However,in Xu-CDE,the user ownership authentication credentials were lack of instantaneity protection,which could not resist replay attack.As an improvement to the flaw,the protocol MRN-CDE (MLE based and random number modified client-side deduplication of encrypted data in cloud storage) was proposed,adding random number in order to ensure the instantaneity of the authentication credentials,and using the algorithm of MLE-K_Pto extract key from original file to replace the file itself as an encryption key.As a consequence,the new protocol improved security while significantly reduced the amount of computation.After the safety analysis and the actual tests,results show that based on Xu-CDE,the proposed protocol MRN-CDE has stronger security of ownership,and improves time efficiency.Specially,the new protocol works better on large files in cloud with a certain value.…”
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Authentication of an Indonesian ID Card with Simultaneous NFC and Face Recognition by Chairullah Chairullah, Yuwaldi Away, Maulisa Oktiana

“…The application, developed using Flutter, incorporates facial recognition for biometric verification, while NFC is employed as an additional authentication layer to provide dual-factor verification and reinforce identity security. …”
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Effectiveness of the Spatial Domain Techniques in Digital Image Steganography by Rosshini Selvamani, Yusliza Yusoff

“…The purpose of this research is to determine the best and most effective algorithm among the three competitive spatial domain algorithms, which are Least Significant Bit (LSB), Optimum Pixel Adjustment Procedure (OPAP), and Pixel Value Differencing (PVD) which in regard demonstrated the efficacy of spatial domain algorithms. …”
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