User preference information recommendation based on DCGNN and GNNPK algorithms by Nannan Cheng, Xiaoyang He

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Structural design of memory system for Ternary Optical Computer. by Honghong Zhang, Yi Jin, Hongjian Wang, Xunlei Chen, Zhehe Wang, Shan Ouyang, Shuang Li

“…Ternary Optical Computer (TOC) is unique in the development of optical computers, in terms of principle, experiment, algorithm and application. …”
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Privacy cloud storage scheme based on fog computing by Jiyuan ZHOU, Hao LUO, Lei QIU, Tian WANG

“…As one of the core applications in cloud computing field,cloud storage attracts a large number of users depending on its powerful storage capacity.However,in this storage schema,users’ data is stored completely in cloud server.In other word,users’ right of control on data is lost and users are facing privacy leakage risk.Traditional privacy protection scheme is usually based on encryption technology,but the attack from the inside of cloud server can’t be resisted effectively by these kinds of methods.Once the password gets compromised,users’ data will be stolen.In order to solve this problem,a three-level secure cloud storage scheme based on fog computing was proposed and a Hash-Solomon code algorithm was designed.A small part of data was stored in local machine and fog server,which can take full advantage of cloud storage and protect the privacy of data.Through the theoretical safety analysis and experimental test,the feasibility of our scheme is proved,and it is really a powerful supplement to existing cloud storage scheme.…”
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Reliability evaluation of dynamic face recognition systems based on improved Fuzzy Dynamic Bayesian Network by Zhiqiang Liu, Wenbo Zhu, Hongzhou Zhang, Shengjin Wang, Lu Fang, Weijun Hong, Hua Shao, Guopeng Wang

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Pupil Detection Algorithm Based on ViM by Yu Zhang, Changyuan Wang, Pengbo Wang, Pengxiang Xue

“…Existing pupil detection algorithms still face challenges in maintaining robustness under variable lighting conditions and occlusion scenarios. …”
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Machine Learning Algorithms Performance Evaluation for Intrusion Detection by Shyla ., Kapil Kumar, Vishal Bhatnagar

“…In this paper authors introduces Intrusion detection system (IDS) framework that is deployed over KDD Cup99 dataset by using machine learning algorithms as Support Vector Machine (SVM), Naïve Bayes and Random Forest for the purpose of improving the precision, accuracy and recall value to compute the best suited algorithm.…”
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Optimized hybrid SVM-RF multi-biometric framework for enhanced authentication using fingerprint, iris, and face recognition by Sonal, Ajit Singh, Chander Kant

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An Underwater Localization Algorithm Based on the Internet of Vessels by Ziqi Wang, Ying Guo, Fei Li, Yuhang Chen, Jiyan Wei

“…To overcome these challenges, we propose a crowdsensing-based underwater localization algorithm (CSUL) by leveraging the computational and localization resources of vessels. …”
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Face Anti-spoofing Detection Based on Novel Encoder Convolutional Neural Network and Texture’s Grayscale Structural Information by Marwa Radad, Amira E. Enab, Salah S. Elagooz, Nawal A. El-Fishawy, Mohamed A. El-Rashidy

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Survey of Distributed Computing Frameworks for Supporting Big Data Analysis by Xudong Sun, Yulin He, Dingming Wu, Joshua Zhexue Huang

“…In performing such tasks, these frameworks face three challenges: computational inefficiency due to high I/O and communication costs, non-scalability to big data due to memory limit, and limited analytical algorithms because many serial algorithms cannot be implemented in the MapReduce programming model. …”
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Bridging the Gap: An Algorithmic Framework for Vehicular Crowdsensing by Luis G. Jaimes, Craig White, Paniz Abedin

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Accuracy and robustness evaluation of deep learning algorithms in facial recognition systems by Jing Zhang, Ningyu Hu

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Optimization and predictive modelling for the diameter of nylon-6,6 nanofibers via electrospinning for coronavirus face masks by Malihe Zeraati, Rana Pourmohamad, Bahareh Baghchi, Narendra Pal Singh Chauhan, Ghasem Sargazi

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Mitigation of Corruption by Implementing e-Government Using Soft Computing by Shareef M. Shareef

“…Electronic government (e-government) allows citizens to contact government authorities directly through computers, smartphones, and the Internet. In the return reducing face-to-face interaction with government employees decreases their permissive role and the potential for corruption, hence enabling the government to be more effective and trustworthy and provide transparency and accountability. …”
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Overlapping Box Suppression and Merging Algorithms for Window-Based Object Detection by Kos Aleksandra

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Research on Curvature Interference Characteristics of Conical Surface Enveloping Cylindrical Worm–Face Worm Gear Drive by Shibo Mu, Xingwei Sun, Zhixu Dong, Heran Yang, Yin Liu, Weifeng Zhang, Sheng Qu, Hongxun Zhao, Yaping Zhao

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Face mask identification with enhanced cuckoo optimization and deep learning-based faster regional neural network by Binay Kumar Pandey, Digvijay Pandey, Mesfin Esayas Lelisho

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Comparative analysis of image hashing algorithms for visual object tracking by Vitalii Naumenko, Sergiy Abramov, Vladimir Lukin

“…Subject of the research – visual object tracking using various image hashing algorithms for real-time tracking tasks. The goal of this study is to evaluate the tracking success and processing speed of existing and new hashing algorithms for object tracking and to identify the most suitable algorithms to be used under limited computational resources. …”
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Advanced driver assistance system (ADAS) and machine learning (ML): The dynamic duo revolutionizing the automotive industry by Harsh SHAH, Karan SHAH, Kushagra DARJI, Adit SHAH, Manan SHAH

“…Subsequently, the critical algorithms used in ADAS technology, which include face detection, head-pose estimation, gaze estimation, and link detection are discussed. …”
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Memristor-Based Artificial Neural Networks for Hardware Neuromorphic Computing by Boyan Jin, Zhenlong Wang, Tianyu Wang, Jialin Meng

“…Artificial neural networks have long been studied to emulate the cognitive capabilities of the human brain for artificial intelligence (AI) computing. However, as computational demands intensify, conventional hardware based on transistor and complementary metal oxide semiconductor (CMOS) technology faces substantial limitations due to the separation of memory and processing, a challenge commonly known as the von Neumann bottleneck. …”
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