A recommender algorithm based on SVD ++model under trust network by Peiwu CHEN, Fangxing SHU

Get full text

Training a Minesweeper Agent Using a Convolutional Neural Network by Wenbo Wang, Chengyou Lei

“…The Minesweeper game is modeled as a sequential decision-making task, for which a neural network architecture, state encoding, and reward function were herein designed. …”
Get full text

Coverage problem in camera-based sensor networks using the CUDA platform by Jae-Hyun Seo, Yourim Yoon, Yong-Hyuk Kim

“…Closed-circuit televisions serve as prevention against crime, and many studies for closed-circuit television deployment have been conducted. The closed-circuit television deployment in downtown is similar to solving coverage problem in wireless camera-based sensor networks. …”
Get full text

Temporal Features-Fused Vision Retentive Network for Echocardiography Image Segmentation by Zhicheng Lin, Rongpu Cui, Limiao Ning, Jian Peng

“…Physicians utilize echocardiography images to measure left ventricular volumes at end-diastole (ED) and end-systole (ES) frames, which are pivotal for calculating the ejection fraction and thus quantitatively assessing cardiac function. However, most existing approaches focus on features from ES frames and ED frames, neglecting the inter-frame correlations in unlabeled frames. …”
Get full text

DCPNet: Distribution Calibration Prototypical Network for Few-Shot Image Classification by Ranhui Xu, Kaizhong Jiang, Lulu Qi, Shaojie Zhao, Mingming Zheng

“…In this paper, we introduce a Distribution Calibration Prototypical Network (DCPNet), aiming to address the limitations of prototypical networks in terms of their weak feature extraction capabilities and the inability of their classifier boundaries to align with the dataset. …”
Get full text

Disturbance rejection control of the agricultural quadrotor based on adaptive neural network by Wenxin Le, Pengyang Xie, Jian Chen

“…Therefore, this paper makes an attempt to use the Radial Basis Function (RBF) neural network adaptive method combined with sliding mode control to control its height channel. …”
Get full text

Systems and Algorithms for Wireless Sensor Networks Based on Animal and Natural Behavior by Sandra Sendra, Lorena Parra, Jaime Lloret, Shafiullah Khan

“…In last decade, there have been many research works about wireless sensor networks (WSNs) focused on improving the network performance as well as increasing the energy efficiency and communications effectiveness. …”
Get full text

Structify-Net: Random Graph generation with controlled size and customized structure by Cazabet, Remy, Citraro, Salvatore, Rossetti, Giulio

“…We introduce a structure zoo —a collection of original network structures— and conduct experiments on the small-world properties of networks generated by those structures. …”
Get full text

Comparative Analysis of Deep Learning Models for Intrusion Detection in IoT Networks by Abdullah Waqas, Sultan Daud Khan, Zaib Ullah, Mohib Ullah, Habib Ullah

“…This study addresses the problem of detecting intrusions in IoT environments by evaluating the performance of deep learning (DL) models under different data and algorithmic conditions. We conducted a comparative analysis of three widely used DL models—Convolutional Neural Networks (CNNs), Long Short-Term Memory (LSTM), and Bidirectional LSTM (biLSTM)—across four benchmark IoT intrusion detection datasets: BoTIoT, CiCIoT, ToNIoT, and WUSTL-IIoT-2021. …”
Get full text

Detection of human activities using multi-layer convolutional neural network by Essam Abdellatef, Rasha M. Al-Makhlasawy, Wafaa A. Shalaby

“…The proposed model’s performance is compared to traditional pre-trained Convolutional Neural Networks (CNNs) and other state-of-the-art techniques. …”
Get full text

DANNET: deep attention neural network for efficient ear identification in biometrics by Deepthy Mary Alex, Kalpana Chowdary M., Hanan Abdullah Mengash, Venkata Dasu M., Natalia Kryvinska, Chinna Babu J., Ajmeera Kiran

“…This shift has highlighted the need for reliable biometric systems that can function effectively even when facial features are partially obscured. …”
Get full text

Therapeutic target genes and regulatory networks of gallic acid in cervical cancer by Zhixi You, Ye Lei, Yongkang Yang, Zhihui Zhou, Xu Chao, Keyi Ju, Songyi Wang, Yuanyuan Li, Yuanyuan Li

“…By combining the results of the Gene Expression Omnibus (GEO) and the Cancer Genome Atlas (TCGA) analysis and RNA-seq, the differentially expressed genes (DEGs), including those upregulated and downregulated genes in CC compared with the normal cervix in the GEO and TCGA database, while expressed reversed after treatment with GA, were identified. Subsequently, the function enrichment analysis and protein–protein interaction of the DEGs were conducted. …”
Get full text

Enhancing Attention Network Spatiotemporal Dynamics for Motor Rehabilitation in Parkinson’s Disease by Guangying Pei, Mengxuan Hu, Jian Ouyang, Zhaohui Jin, Kexin Wang, Detao Meng, Yixuan Wang, Keke Chen, Li Wang, Li-Zhi Cao, Shintaro Funahashi, Tianyi Yan, Boyan Fang

“…A multimodal analysis of resting-state electroencephalography (EEG) microstates and functional magnetic resonance imaging (fMRI) coactivation patterns was performed to characterize MIRT-induced spatiotemporal network reorganization. …”
Get full text

Advancements of carbon nanomaterials-modified asphalt: Processes, properties, economic feasibility and future perspectives by Sherif Araby, Ayman Abdulhamid, Umut Bakhbergen, Jong Kim, El-Sayed Abd-Elaal

“…In addition, CNMs can offer new functional properties into asphalt mixtures such as self-healing, and thermal and electrical conductivity. …”
Get full text

Designing supramolecular pastes by controlling host–guest dynamics in reconfigurable networks by Jinrong Wang, Weibin Lin, Valeriia O. Nikolaeva, Rukhma Javaid, Niveen M. Khashab

“…DFT calculations and molecular simulations reveal the molecular basis of the host–guest interactions in guiding network dynamics and healing behavior. Furthermore, incorporating graphene as conductive filler renders the paste functions as a stretchable, self-healing conductive wire, with potential in flexible electronics and responsive devices. …”
Get full text

Low-Power Indoor Positioning Algorithm Based on iBeacon Network by Xiaona Zhang, Shufang Zhang, Shuaiheng Huai

“…In this article, we use a low-power iBeacon network to conduct an in-depth analysis and research on the principle of indoor positioning and adopt an efficient and fast positioning algorithm. …”
Get full text

Automated Residential Demand Response Based on Advanced Metering Infrastructure Network by Jongkwan Seo, Ju Jin, Jin Young Kim, Jae-Jo Lee

“…Demand response (DR) is a major contributor to grid stabilization during peak times. As the scope and functions of DR increase, DR participation of residential customers has attracted great attention. …”
Get full text

Revisiting the effective connectivity within the distributed cortical network for face perception by Roman Kessler, Kristin M. Rusch, Kim C. Wende, Verena Schuster, Andreas Jansen

“…The classical core system of face perception consists of the occipital face area (OFA), fusiform face area (FFA), and posterior superior temporal sulcus (STS). The functional interaction within this network, more specifically the effective connectivity, was first described by Fairhall and Ishai (2007) using functional magnetic resonance imaging and dynamic causal modeling. …”
Get full text

Validation and analysis of network slicing capability based on RB resource reservation by WANG Zhijia, YANG Jianjian, XU Jianhong, WANG Zhongchen, PAN Siyu, HAO Jing

“…Based on this, the validation and analysis of network slicing capabilities focusing on resource block (RB)-based resource reservation in 5G networks were conducted. …”
Get full text

ANALYSIS OF TYPICAL NETWORK ATTACKS ON AUTOMATED SYSTEMS OF INTERNAL AFFAIRS DEPARTMENTS by I. G. Drovnikova, Е. S. Ovchinnikova, V. V. Konobeevsky

“…Aim Important contemporary trends in the theory and functional practice of secure automated systems at informatisation facilities of internal affairs bodies include an increase in the number of threats realised through remote unauthorised access (network attacks) on confidential in-formation resources, as well as the increasing complexity of implementing mechanisms aimed at providing protection from such attacks. …”
Get full text