Efficient ID-based multicast authentication protocol in wireless sensor networks by WANG Gang1, WEN Tao1, GUO Quan2, MA Xue-bin1

“…In order to overcome the drawback of the existent multicast authentication protocol in WSN,the PKC-based services for WSN was explored and an efficient ID-based multicast authentication protocol was presented.The protocol with message recovery provided the feature that the message was recoverable from the signature and hence the computa-tional cost and communication overhead of the protocol had been reduced greatly.This protocol was proved secure against existential forgery under adaptive chosen message and ID attack in the random oracle model.The performance analysis results show that the proposed scheme can effectively reduce resource cost,adapt the characteristics of WSN and is clearly superior to the HESS,Zhang and BLS protocols.…”
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Feasibility of ADC histogram analysis for predicting of postoperative recurrence in aggressive spinal tumors by Qizheng Wang, Yongye Chen, Guangjin Zhou, Tongyu Wang, Jingchao Fang, Ke Liu, Siyuan Qin, Weili Zhao, Dapeng Hao, Ning Lang

“…Clinical and general imaging features were used to construct an alternative prognostic model for comparison. …”
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Enhanced plant health monitoring with dual head CNN for leaf classification and disease identification by Sajeeb Kumar Ray, Md. Anwar Hossain, Naima Islam, Mirza A.F.M. Rashidul Hasan

“…Featuring a shared feature extraction layer and two classifier heads, the DH-CNN architecture optimizes performance for both classification tasks. …”
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ESLC-YOLOv8: Advancing real-time pineapple recognition with lightweight deep learning by Weihua Shen, Mengyao Dong, Zhaoxin Zhang, Xiaying Hao, Yuzhen Su, Zhong Xue

“…Finally, we design a Lightweight Shared Convolutional Detection Head (LSCD) that dramatically reduces model parameters while maintaining detection accuracy, coupled with a Coordinate Attention (CA) mechanism to reinforce critical feature representation. …”
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Explainable AI Meets Synthetic Data: A Deep Learning Framework for Detecting Network Intrusion in NextG Network Infrastructure by Md Junayed Hossain, Khorshed Alam, Md Fahad Monir, Md Mozammal Hoque, Tarem Ahmed

“…The CNN and LSTM models, applied independently, leverage their respective strengths to extract spatial and temporal features from network traffic, achieving robust classification accuracy. …”
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Phenology-Aware Transformer for Semantic Segmentation of Non-Food Crops from Multi-Source Remote Sensing Time Series by Xiongwei Guan, Meiling Liu, Shi Cao, Jiale Jiang

“…The fused spatiotemporal features feed a Transformer-based decoder that performs multi-class semantic segmentation. …”
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Network-based intrusion detection using deep learning technique by Muhammad Farhan, Hafiz Waheed ud din, Saadat Ullah, Muhammad Sajjad Hussain, Muhammad Amir Khan, Tehseen Mazhar, Umar Farooq Khattak, Ines Hilali Jaghdam

“…This dimensional reduction of the feature space (43 to only 8 highly relevant features) retains the high accuracy of the model but with better inference speed, which is a crucial aspect of the real-time deployment of NIDS. …”
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Multi-scale fusion network for coal mine drill rod counting based on directional object detection in complex scenes by Fukai Zhang, Shuo Zhao, Haiyan Zhang, Yongqiang Ma, Qiang Zhang, Shaopu Wang, Wenjing Chang

“…The model begins by creating and annotating the LDDATA dataset. …”
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Research on grape leaf disease detection method based on NMA-YOLOv8n by Ji Changpeng, Zuo Yongji, Dai Wei

“…In response to the low inefficiency and high misjudgement rate of manually observing grape leaf diseases, an improved YOLOv8n grape leaf disease detection model NMA-YOLOv8n is proposed. Firstly, the global nonlinear attention NBL was introduced in the neck network, which enhances the backbone feature extraction capability by fusing the local and non-local attention, enabling the network to equally focus on small and normal targets. …”
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The Effective Evaluation of Emotions in the Visual Emotion Images Using Convolutional Neural Networks by Modestas Motiejauskas, Gintautas Dzemyda

“…This paper develops a model for recognizing emotions in visual images. …”
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A Method for Aileron Actuator Fault Diagnosis Based on PCA and PGC-SVM by Wei-Li Qin, Wen-Jin Zhang, Chen Lu

“…To verify the effectiveness of the proposed approach, four types of faults are introduced into the simulation model established by AMESim and Simulink. The results demonstrate its desirable diagnostic performance which outperforms that of the traditional SVM by comparison.…”
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SS-EMERGE - self-supervised enhancement for multidimension emotion recognition using GNNs for EEG by Chirag Ahuja, Divyashikha Sethia

“…It also proposes a foundation model pre-trained on combined SEED and SEED-IV datasets, demonstrating performance comparable to individual models. …”
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Development of Design Methodology for a Small Solar-Powered Unmanned Aerial Vehicle by Parvathy Rajendran, Howard Smith

“…Existing mathematical design models for small solar-powered electric unmanned aerial vehicles (UAVs) only focus on mass, performance, and aerodynamic analyses. …”
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Metrics and Algorithms for Identifying and Mitigating Bias in AI Design: A Counterfactual Fairness Approach by Dongsoo Moon, Seongjin Ahn

“…The proposed methodology integrates fairness-aware data preprocessing, feature selection, and model optimization strategies, ensuring equitable treatment across demographic groups. …”
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Adaptive Context-Aware Generative Adversarial Network for Low-quality Image Enhancement by Xingyu Pan, Fengling Chen

“…Specifically, FGAN-DA constructs a hybrid generative model via combining explicit and implicit components within the GAN architecture, which effectively alleviates detail blurred and singularity caused by sole generation modeling. …”
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BanglaNewsClassifier: A machine learning approach for news classification in Bangla Newspapers using hybrid stacking classifiers. by Tanzir Hossain, Ar-Rafi Islam, Md Humaion Kabir Mehedi, Annajiat Alim Rasel, M Abdullah-Al-Wadud, Jia Uddin

“…Our best-performing model, a stacking meta-classifier combining bidirectional long short-term memory and support vector machine, achieved a remarkable 94% accuracy, leaving all basic models' performance behind. …”
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BEKKs: An R Package for Estimation of Conditional Volatility of Multivariate Time Series by Markus J. Fülle, Alexander Lange, Christian M. Hafner, Helmut Herwartz

“…The package is designed in an object-oriented way featuring a comprehensive toolbox of methods to investigate and interpret, for instance, volatility impulse response functions, risk estimation and forecasting (VaR) and a backtesting algorithm to compare the forecasting performance of alternative BEKK models. …”
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Cell differentiation controls iron assimilation in the choanoflagellate Salpingoeca rosetta by Fredrick Leon, Jesus M. Espinoza-Esparza, Vicki Deng, Maxwell C. Coyle, Sarah Espinoza, David S. Booth

“…ABSTRACT Marine microeukaryotes have evolved diverse cellular features that link their life histories to surrounding environments. …”
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Key factors influencing undergraduate nursing students’ perceptions of the use of learning management systems: a systematic literature review by Fathiya Alkhuzaimi, Christine Brown Wilson, Wai Yee Amy Wong

“…An updated search was performed in July 2024 to ensure the inclusion of recent evidence. …”
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A Multicomponent Collaborative Fossil Fuel Power Plants Detection Framework Based on Geographic Analysis in Wide Areas by Ning Li, Min Jing, Wanxuan Geng, Shengkun Dongye, Hui Chen, Chen Ji, Liang Cheng

“…Next, we constructed a comprehensive FFPP dataset, including plants and their components, and trained two separate object detection models for FFPPs and their components. Subsequently, the FFPP model was used to perform coarse detection, followed by the refined detection of primary features (chimneys, square chimneys, and cooling towers) and auxiliary features (substations and storage tanks). …”
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