Cross-Modal Hashing Retrieval Based on Density Clustering by Xiaojun Qi, Xianhua Zeng, Hongmei Tang

“…DCCH utilizes the global density correlation between different modalities to select representative instances to replace the entire data precisely. Furthermore, DCCH excludes the adverse effects of noise points and leverages the discrete optimization process to obtain hash functions. …”
Get full text

Alternative values measurement of energy storage in novel power system by HAN Liang, FANG Xichen, GUO Hongye, HU Yuou, ZHANG Jing

“…It is found that energy storages have multiple values, such as replacing generation and transmission investments, reducing demand response and reserve costs.…”
Get full text

Encrypted traffic classification method based on convolutional neural network by Rongna XIE, Zhuhong MA, Zongyu LI, Ye TIAN

“…Aiming at the problems of low accuracy, weak generality, and easy privacy violation of traditional encrypted network traffic classification methods, an encrypted traffic classification method based on convolutional neural network was proposed, which avoided relying on original traffic data and prevented overfitting of specific byte structure of the application.According to the data packet size and arrival time information of network traffic, a method to convert the original traffic into a two-dimensional picture was designed.Each cell in the histogram represented the number of packets with corresponding size that arrive at the corresponding time interval, avoiding reliance on packet payloads and privacy violations.The LeNet-5 convolutional neural network model was optimized to improve the classification accuracy.The inception module was embedded for multi-dimensional feature extraction and feature fusion.And the 1*1 convolution was used to control the feature dimension of the output.Besides, the average pooling layer and the convolutional layer were used to replace the fully connected layer to increase the calculation speed and avoid overfitting.The sliding window method was used in the object detection task, and each network unidirectional flow was divided into equal-sized blocks, ensuring that the blocks in the training set and the blocks in the test set in a single session do not overlap and expanding the dataset samples.The classification experiment results on the ISCX dataset show that for the application traffic classification task, the average accuracy rate reaches more than 95%.The comparative experimental results show that the traditional classification method has a significant decrease in accuracy or even fails when the types of training set and test set are different.However, the accuracy rate of the proposed method still reaches 89.2%, which proves that the method is universally suitable for encrypted traffic and non-encrypted traffic.All experiments are based on imbalanced datasets, and the experimental results may be further improved if balanced processing is performed.…”
Get full text

From Waste to Wealth: Efficient α-Amylase Production Using Agro-Waste Materials: A Study on Brevibacillus Isolates by Fabiha Shahid, Syeda Soran Alam, Aima Arooj, Hafsa Batool

“…In this study we aimed to isolate, optimize amylase-producing bacterial strains, and evaluate the effectiveness of agro-waste in replacing conventional starch-based fermentation substrates. …”
Get full text

Centrifugation method for rapid measurement of total soil water-soluble salt by Zhengyang Jia, Zi Chen, Hai Yang, Yun Li, Quanping Zhou, Yuehua Jiang, Yuanyuan Chen, Hong Zhang, Qiuju Qi, Lili Hou, Shijia Mei, Yang Jin

“…Therefore, this study aimed to improve the efficiency of the traditional gravimetric method by replacing the suction filtration process with the centrifugation technique. …”
Get full text

Hybrid Fiber Reinforcement in HDPE–Concrete: Predictive Analysis of Fresh and Hardened Properties Using Response Surface Methodology by Hany A. Dahish, Mohammed K. Alkharisi

“…The results demonstrated that replacing NCA with HDPE plastics increased the workability and decreased the strength of concrete. …”
Get full text

Construction and correction of a 3D digital twin for a complex gangue-bearing coal seam by Meichen ZHANG, Lijuan ZHAO, Yadong WANG, Kai ZHANG

“…The 3D digital twin was applied to the bidirectional coupling test of coal-rock cutting, demonstrating that the optimized, reconstructed 3D digital twin for coal-seam mining face faithfully reflected the coal seam morphology of the mining face. …”
Get full text

Effectiveness Analysis of a Compromise Approach to Solving the Problem of Refusal of Influenza Vaccination by I. D. Kolesin, E. М. Zhitkova

“…Based on data on morbidity among vaccinated and unvaccinated, the existence of an optimal percentage of vaccinated for the adult population and for each of the three risk groups is shown: medical staff, service employees and persons over 60 years of age; on the example of the group «persons over 60 years of age», the possibility of reducing tension in the case of replacing a single vaccination with a complex one is shown.Conclusion. …”
Get full text

METHODOLOGY AND RESULTS OF MOBILE OBJECT PURSUIT PROBLEM SOLUTION WITH TWO-STAGE DYNAMIC SYSTEM by M. A. Kiselev

Get full text

Comprehensive Review of Collaborative Data Caching in Edge Computing by Abdul Tawab Akrami, Girija Attigeri, Manjula C. Belavagi

“…We have categorized collaborative caching strategies into four main types: models based on stochastic, game theoretic, and mathematical methods to deal with uncertainty in network conditions and optimize resource allocation; machine learning-based models that employ artificial intelligence (AI) for content popularity prediction and cache optimization; heuristic models providing lightweight solutions for cache placement and replacement; and hybrid models combining multiple strategies. …”
Get full text

On the Search for Supersingular Elliptic Curves and Their Applications by Ismel Martinez-Diaz, Rashad Ali, Muhammad Kamran Jamil

Get full text

Long Trip Charging Planning of Battery Electric Vehicle Considering Vehicle Waiting Time Forecast at Fast Charging Stations: A Mixed-Integer Dynamic Programming Approach by Pradeep Krishna Bhat, Zhouquan Wu, Bo Chen

“…To optimize charging planning, we utilize mixed-integer dynamic programming to achieve the global optimal solution. …”
Get full text

Assessment of CPME as Sustainable Low VOC Alternative to Hexane: Optimization of Extraction Efficiency and Bioactive Compound Yield from Fenugreek Seed Oil Using Computational and... by Ameni Ben Abdennebi, Emna Chaabani, Mariem Ben Jemaa, Majdi Hammami, Saber Khammassi, Salma Nait Mohamed, Wissem Aidi Wannes, Ibtissem Hamrouni Sellami, Anne-Sylvie Fabiano Tixier, Iness Bettaieb Rebey

Get full text

Comparison of PSA to Moringa Oleifera Seed Protein as Sorbent in QuEChERS: A Response Surface Methodology Optimization for Extraction of Some Endocrine Disrupting Chemicals in Food by Thapelo Ramalepe, Heidi Richards, Hlanganani Tutu, Yannick Nuapia, Eutilério Chaúque, Imasiku Nyambe, Luke Chimuka

“…The PSA method which was later replaced with Moringa Oleifera seed protein presented optimal values of 3 g of sample, 150 mg PSA, 4000 rpm for 6 min centrifuge conditions, including 2 g NaCl and 2 g MgSO4  extracted in 10 mL methanol, respectively. …”
Get full text

CH3NH3Pb1−xCuxI3-based solar cell: Numerical study and optimization with different inorganic hole transport layers by Nabil Bouri, Abdelali Talbi, Mohammed Makha, Amal Bouich, Tesfaye Abebe Geleta, Khalid Nouneh

“…According to simulation results, Cu2O as the HTL provides the best performance. The optimal physical parameters for the absorbent layer were found to be Nt=1013 cm−3, d = 1 µm, Brad=10−16 cm3/s, NA=1020 cm−3, ND=109 cm−3, Rs=0 Ω.cm2, and Rsh=6000 Ω.cm2 resulting in a PCE of 26.92 %.…”
Get full text

Safety, dosimetry, and efficacy of an optimized long-acting somatostatin analog for peptide receptor radionuclide therapy in metastatic neuroendocrine tumors: From preclinical test... by Wei Guo, Xuejun Wen, Yuhang Chen, Tianzhi Zhao, Jia Liu, Yucen Tao, Hao Fu, Hongjian Wang, Weizhi Xu, Yizhen Pang, Liang Zhao, Jingxiong Huang, Pengfei Xu, Zhide Guo, Weibing Miao, Jingjing Zhang, Xiaoyuan Chen, Haojun Chen

Get full text

Optimal Antithrombotic Therapy after Implantation of a Transcatheter Aortic Valve: Warfarin, Aspirin, or Non-Vitamin K Antagonist Oral Anticoagulants? A Systematic Review and Meta-... by Wenjuan Yang, Xiaoyu Fang, Yu Zhu, Fuqin Tang, Zhao Jian, Tianyu Xu, Xiaoxia Fu

“…Diverse antithrombotic strategies were applied to patients undergoing aortic valve replacement. However, the optimal therapeutic regimen for patients undergoing transcatheter aortic valve implantation/replacement (TAVI/TAVR) remains unclear. …”
Get full text

Thermal performance optimization of 10 kV dry-type transformer: A dual-strategy approach combining silicone rubber-enhanced insulation material and air gaps redesign by Yichen Zhu, Zhibin Qiu, Ruiwen Wu

“…Compared to the original dry-type transformer, the hotspot temperature of the transformer has been reduced by 8.43 °C through the insulation material replacement. Moreover, multi-objective optimization generated 95 sets of Pareto-optimal solutions, one of the Pareto solutions selected shows that the hotspot temperature is reduced by 12.71 °C totally, and the temperature distribution overall has been improved as well. …”
Get full text

Efficient Optimization of Gluconobacter oxydans Based on Protein Scaffold-Trimeric CutA to Enhance the Chemical Structure Stability of Enzymes for the Direct Production of 2-Keto-L... by Lili Gao, Yuefeng Liu, Xiaoyu Zhang, Hongsheng Zhang

“…However, this route is a complicated mix-culture system which involves three bacteria. Thus, replacement of the conventional two-step fermentation process with a one-step process could be revolutionary in vitamin C industry. …”
Get full text

AI-Driven Optimization of Fly Ash-Based Geopolymer Concrete for Sustainable High Strength and CO₂ Reduction: An Application of Hybrid Taguchi–Grey–ANN Approach by Muhammad Usman Siddiq, Muhammad Kashif Anwar, Faris H. Almansour, Muhammad Ahmed Qurashi, Muhammad Adeel

“…This study addresses this challenge by developing machine learning-optimized geopolymer concrete (GPC) using industrial waste fly ash as cement replacement. …”
Get full text