Customer Behavior Analysis and Predictive Modeling in Supermarket Retail: A Comprehensive Data Mining Approach by Kavitha Dhanushkodi, Akila Bala, Nithin Kodipyaka, V. Shreyas

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Linear SVM-Based Android Malware Detection for Reliable IoT Services by Hyo-Sik Ham, Hwan-Hee Kim, Myung-Sup Kim, Mi-Jung Choi

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Iterative Linear Quadratic Optimization for Nonlinear Control: Differentiable Programming Algorithmic Templates by Roulet, Vincent, Srinivasa, Siddhartha, Fazel, Maryam, Harchaoui, Zaid

“…In a differentiable programming framework, this information, such as gradients, can be automatically derived from the computational graph. We explore how nonlinear control algorithms, often employing linear and/or quadratic approximations, can be effectively cast within this framework. …”
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Lip print‐based identification using traditional and deep learning by Wardah Farrukh, Dustin van derHaar

“…This article compares traditional and deep learning computer vision methods and how they perform on a common dataset for lip‐based identification. …”
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Spatial Object Tracking Using an Enhanced Mean Shift Method Based on Perceptual Spatial-Space Generation Model by Pengcheng Han, Junping Du, Ming Fang

“…Object tracking is one of the fundamental problems in computer vision, but existing efficient methods may not be suitable for spatial object tracking. …”
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ATBHC-YOLO: aggregate transformer and bidirectional hybrid convolution for small object detection by Dandan Liao, Jianxun Zhang, Ye Tao, Xie Jin

“…Abstract Object detection using UAV images is a current research focus in the field of computer vision, with frequent advancements in recent years. …”
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Medical Knowledge Graph: Data Sources, Construction, Reasoning, and Applications by Xuehong Wu, Junwen Duan, Yi Pan, Min Li

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Modeling the effect of information campaigns on the HIV epidemic in Uganda by Hem Joshi, Suzanne Lenhart, Kendra Albright, Kevin Gipson

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Layer-Based Data Aggregation and Performance Analysis in Wireless Sensor Networks by Hongju Cheng, Yongzhao Chen, Naixue Xiong, Feifei Li

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Microstructure and magnetism of austenitic steels in relation to chemical composition, severe plastic deformation, and solution annealing by Kamila Hrabovská, Ondřej Životský, Petra Váňová, Yvonna Jirásková, Lucie Gembalová, Ondřej Hilšer

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Automated Diagnosis of Coronary Artery Disease: A Review and Workflow by Qurat-ul-ain Mastoi, Teh Ying Wah, Ram Gopal Raj, Uzair Iqbal

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Improve Fine-Grained Feature Learning in Fine-Grained DataSet GAI by Hai Peng Wang, Zhi Qing Geng

“…During training, only a slight increase in computation is required, and the SpiltAtt structure is deleted after the training is completed. …”
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Analysis of the Magnetic Anomalies of Buried Archaeological Ovens of Aïn Kerouach (Morocco) by Abderrahim Ayad, Saâd Bakkali

“…In order to find the maximum depth of the sources, we computed the enhanced downward continuation filter in order to highlight the magnetization contrasts in high detail, depending on the depth downward included in the computation. …”
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Research of the Robot Arm Gravity Compensation based on the Genetic Algorithm for Optimization of Neural Network by Yang Yuan, Cao Tong, Liu Da

“…By adopting a genetic algorithm for optimization of neural network,the gravity compensation for robot arm is researched.Firstly,through the basic knowledge of mechanics and D-H parameter to set up robot kinematics model,the theoretical computation formula of the gravity item of each joint torque in robot arm is got.Secondly,in the Solid Works simulation software,the simulation value of the gravity item in some certain pose got,thus the correctness of the theoretical computation formula is verified.Finally,the predicted value of the gravity item by genetic algorithm for optimization of neural network is obtained.Experimental results show that the predicted value of gravity items of robot arm learnt with this method is basically conforming with the theoretical value.Consequently,the work load of calculation for the gravity items of robot arm is effectively reduced.Furthermore,this method provide a possible way for the real-time control.…”
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Smoothing Estimation of Parameters in Censored Quantile Linear Regression Model by Mingquan Wang, Xiaohua Ma, Xinrui Wang, Jun Wang, Xiuqing Zhou, Qibing Gao

“…Thus, the parameters of the regression model can be computed by using the gradient-based iterative algorithm. …”
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Concise Neural Nonaffine Control of Air-Breathing Hypersonic Vehicles Subject to Parametric Uncertainties by Xiangwei Bu, Qiong Wang, Yan Zhao, Guangjun He

“…The special contributions are that the control architecture is concise and the computational cost is low. Moreover, the exploited controller possesses good practicability since there is no need for affine models. …”
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An Elite Decision Making Harmony Search Algorithm for Optimization Problem by Lipu Zhang, Yinghong Xu, Yousong Liu

“…The computational results show that the proposed new algorithm is competitive in finding solutions with the state-of-the-art harmony search variants.…”
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AONT-and-NTRU-based rekeying scheme for encrypted deduplication by Chunfu JIA, Guanxiong HA, Shaoqiang WU, Hang CHEN, Ruiqi LI

“…Rekeying is a good way to protect against key exposure.Most of the existing encrypted deduplication systems are implemented based on message-locked-encryption, in which multiple users with the identical data share the same encryption key.When a user updates keys, that update must be followed by all other data owners, which will incur large computational and communicational overheads.To solve this problem, an AONT-and-NTRU-based rekeying scheme was proposed, a variant of AONT was designed to solve the synchronization problem of multi-user rekeying, and a proxy re-encryption algorithm based on NTRU was introduced to reduce the communicational overhead for the system and computational overhead for clients during rekeying.The efficiency analysis and experimental results show that the proposed scheme has better encryption and decryption efficiency than existing schemes and the time cost of rekeying is significantly reduced.…”
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Biodiesel Production by Reactive Flash: A Numerical Simulation by Alejandro Regalado-Méndez, Sigurd Skogestad, Reyna Natividad, Rubí Romero

“…The RF was modeled by an index-2 system of differential algebraic equations, the vapor split (ϕ) was computed by modified Rachford-Rice equation and modified Raoult’s law computed bubble point, and the continuation analysis was tracked on MATCONT. …”
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Research on Amplifier Performance Evaluation Based on δ-Support Vector Regression by Xing Huo, Aihua Zhang, Hamid Reza Karimi

“…And this is also suitable for promotion computational speed.…”
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