A hybrid fusion of wireless signals and RGB image for indoor positioning by Jichao Jiao, Fei Li, Weihua Tang, Zhongliang Deng, Jichang Cao

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GBiL: A hybrid gated recurrent units (GRU) and bidirectional long short-term memory (BiLSTM) model with Particle Swarm Optimization for a Robust VANET IDS by G. Shobana, A. Thillai Nathan, Dhev Sabharish Sivakumar, R. Arockia Xavier Annie

“…At the core of this architecture, an intrusion detection system (IDS) is combined with a trust detection module to assess the trustworthiness of network nodes using real-time data. The IDS employs a hybrid approach for efficient intrusion detection, leveraging particle swarm optimization (PSO) after feature selection. …”
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Brokel: Towards enabling multi-level cloud elasticity on publish/subscribe brokers by Vinicius Facco Rodrigues, Ivam Guilherme Wendt, Rodrigo da Rosa Righi, Cristiano André da Costa, Jorge Luis Victória Barbosa, Antonio Marcos Alberti

“…Internet of Things networks together with the data that flow between networked smart devices are growing at unprecedented rates. …”
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LLM4WM: Adapting LLM for Wireless Multi-Tasking by Xuanyu Liu, Shijian Gao, Boxun Liu, Xiang Cheng, Liuqing Yang

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Health assessment and health trend prediction of wind turbine bearing based on BO-BiLSTM model by Zhenen Li, Yujie Xue

“…The work of this article will be divided into the following four parts: (1) Extracting the time domain, frequency domain, and time-frequency domain degradation characteristics of high-speed shaft bearing vibration signals of wind turbines; (2) Comprehensive evaluation using monotonicity, correlation, and robustness constructs function to screen degenerate features; (3) Use self-organizing feature mapping network. …”
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An improve fraud detection framework via dynamic representations and adaptive frequency response filter by Juncheng Yang, Shuxia Li, Zijun Huang, Junhang Wu

“…Consequently, we introduce the Dynamic Pattern with Adaptive Filter Graph Learning framework for telecom fraud detection. With the sequential network, we capture users’ dynamic behavioral features for LSN input. …”
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Analysis of Students’ Role Perceptions and their Tendencies in Classroom Education Based on Visual Inspection by Lanlan Jiang

“…A multi example learning student engagement assessment method based on a one-dimensional convolutional neural network is proposed. Based on the conceptual composition of student engagement, head posture, eye gaze, and eye-opening and closing states and the most used facial movement units are used as visual features. …”
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An optimized spatial target trajectory prediction model for multi-sensor data fusion in air traffic management by Jian Dong, Yuan Xu, Rigeng Wu, Chengwang Xiao

“…We segment data from various sensors within the automatic dependent surveillance-broadcast system using a designed sliding window of equal time steps, inputting them into the feature extraction network to capture spatiotemporal features. …”
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Af-CAN: Multimodal Emotion Recognition Method Based on Situational Attention Mechanism by Xue Zhang, Mingjiang Wang, Xiao Zeng, Xuyi Zhuang

“…Based on the current research status and challenges such as inadequate extraction of contextual emotional dynamic features and data scarcity, a multimodal emotion recognition method called Attention-based Fusion Contextual Attention Network (Af-CAN) has been proposed to break through these limitations. …”
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Applying the blended KTA-Sprint framework to a usability assessment of a digital health module for informal caregivers co-managing heart failure by Ting Xiong, Camila Benmessaoud, Kaylen J. Pfisterer, Noor El-Dassouki, Raima Lohani, Karen Young, Quynh Pham

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An Empirical Study on Downstream Dependency Package Groups in Software Packaging Ecosystems by Qing Qi, Jian Cao

“…In this study, we examine the downstream dependency package groups (DDGs) in three typical packaging ecosystems—Cargo for Rust, Comprehensive Perl Archive Network for Perl, and RubyGems for Ruby—to identify their features and evolution. …”
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An intelligent prediction method for rock core integrity based on deep learning by Zhaoxia Hu, Hua Mei, Lei Yu

“…In IDA-RCF, a two-branch feature extraction network is firstly proposed, in which branch one is used to fully extract the complex and variable local detail fissure features by Deformable convolution, and branch two is used to capture the global context information of the rock core images by EfficientViT network based on the self-attention. …”
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Research on Intelligent Classification of Ultrasonic Phased Array Image of Welding Seam of Naval Gun Cradle by Wenjing Liu, Erqing Zhang, Jianguo Wang, Shaofeng Wang, Shunzhou Huang

“…The results of training multiple times fluctuate greatly, which is not conducive to the performance evaluation of the network model. Therefore, this paper does not directly use the correlation parameter between the feature and the defect category as the initial feature weight of the RSAE. …”
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A Subjective Expressions Extracting Method for Social Opinion Mining by Mingyong Yin, Haizhou Wang, Xingshu Chen, Hong Yan, Rui Tang

“…For the task of subjective expression extraction, the methods based on neural network can learn features automatically without exhaustive feature engineering and have been proved to be efficient for opinion mining. …”
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Vision and research directions of 6G technologies and applications by Shimaa A. Abdel Hakeem, Hanan H. Hussein, HyungWon Kim

“…We discuss the Beyond 5G (B5G) evolution and advanced 5G features to predict the critical 6G requirements and highlight the 6G capabilities. …”
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Key technologies and standards progress for 5G positioning by Jianxiang LI, Yinan JIA, Xiaoyang TIAN, Bin REN, Xiaotao REN, Haiyang QUAN

“…Location service features are enabled in 5G to allow new and innovative location-based services to be developed for kinds of scenarios and the key performance requirements are identified by 3GPP.Firstly, the planning of location service feature in each standard release of 5G was introduced based on the standard process of 5G high-accuracy positioning in 3GPP.Secondly, 5G network-assisted BeiDou navigation satellite system was studied, including the positioning technologies and the standard progress of A-BDS in 3GPP.Thirdly, the network architecture, key technologies and the standards progress for sidelink positioning in 5G were introduced.Finally, the evolution of 6G positioning was analyzed.…”
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On the attractiveness of social media for language learning: a look at the state of the art by Katerina Zourou

“…We then critically discuss three key features of web 2.0 technologies (user participation, openness and network effects). …”
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Interplay between innate-like T-cells and microRNAs in cancer immunity by Mohammad Javad Yousefi, Yashmin Afshar, Amirmohammad Amoozadehsamakoosh, Alma Naseri, Fereshteh Soltani, Niloufar Yazdanpanah, Kiarash Saleki, Nima Rezaei

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A hybrid learning approach for MRI-based detection of alzheimer’s disease stages using dual CNNs and ensemble classifier by Sepideh Zolfaghari, Atra Joudaki, Yashar Sarbaz

“…Initially, these images were resized and augmented before being input into Network 1 and Network 2, which have different structures and layers to extract important features. …”
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A Spread Willingness Computing-Based Information Dissemination Model by Haojing Huang, Zhiming Cui, Shukui Zhang

“…This paper constructs a kind of spread willingness computing based on information dissemination model for social network. The model takes into account the impact of node degree and dissemination mechanism, combined with the complex network theory and dynamics of infectious diseases, and further establishes the dynamical evolution equations. …”
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