Optimal ACL Policy Placement in Hybrid SDN Networks: A Reinforcement Learning Approach by Wajid Ullah Khan, Nadir Shah, Gabriel-Miro Muntean, Haleem Farman, Moustafa M. Nasralla, Shan Ullah, Muhammad Shabir

“…The immediate transition to a fully Software-Defined Networking (SDN)-based architecture is both costly and operationally complex. …”
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A Fast and Efficient Denoising and Surface Reflectance Retrieval Method for ZY1-02D Hyperspectral Data by Qiongqiong Lan, Yaqing He, Qijin Han, Yongguang Zhao, Wan Li, Lu Xu, Dongping Ming

“…To address these issues, aiming at fast and efficient processing of Chinese domestic ZY1-02D hyperspectral level-1 data, this study proposes a comprehensive processing framework: (1) To address the low efficiency of traditional bad line detection by visual examination, an automatic bad line detection method based on the pixel grayscale gradient threshold algorithm is proposed; (2) A spectral correlation-based interpolation method is developed to overcome the poor performance of adjacent-column averaging in repairing wide bad lines; (3) A reliable validation method was established based on the spectral band adjustment factors method to compare hyperspectral SR with multispectral SR and in-situ ground measurements. …”
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IoT Network Anomaly Detection in Smart Homes Using Machine Learning by Nadeem Sarwar, Imran Sarwar Bajwa, Muhammad Zunnurain Hussain, Muhammad Ibrahim, Khizra Saleem

“…Machine Learning played a vital role in recognizing such malicious activities and attempts. …”
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A Patient-Centered Forensic Nursing Model of Care for Victims of Law Enforcement Violence by Maija Anderson, Jacqueline Callari-Robinson, Margaret Glembocki, Elizabeth Louden

“…A practical application algorithm was developed based on care provided to other victims of violence. …”
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Utilizing Enhanced Particle Swarm Optimization for Feature Selection in Gender-Emotion Detection From English Speech Signals by Ammar Amjad, Li-Chia Tai, Hsien-Tsung Chang

“…The gender-specific DGA-EBPSO algorithm incorporates a hybrid mutation strategy to improve feature selection efficiency and considers gender-based variations in emotional expression. …”
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Accelerating RRT* convergence with novel nonuniform and uniform sampling approach by Sivasankar Ganesan, Mohanraj Thangamuthu, Balakrishnan Ramalingam, Madan Mohan Rayguru, Sethu Narayanan Tamilselvan

“…Abstract Path planning plays a crucial role in autonomous mobile robotics. Sampling-based path planners are widely and frequently employed to generate collision-free paths between a start and goal location. …”
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Estimation of Current RMS for DC Link Capacitor of S-PMSM Drive System by ZHANG Zhigang, CHANG Jiamian, ZHANG Pengcheng

“…Given the sophisticated processes involved and numerous unresolved integrals while calculating the current RMS value of the capacitor using traditional double Fourier integral algorithm, this paper proposes a method to calculate the current RMS value of the DC capacitor based on polynomial interpolation and quadrature method Cotes. …”
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Generative AI-powered multilingual ASR for seamless language-mixing transcriptions by Puspita Dash, Sruthi Babu, Logeswari Singaravel, Devadarshini Balasubramanian

“…Here, we use a generative pre-trained transformer model, which learns to predict the subsequent word in a language during the pre-training stage in order to get an understanding of language structure and semantics. The algorithm used here is long short-term memory (LSTM) plays a crucial role in speech to text by capturing temporal dependencies maintaining context and generating accurate transcriptions from audio inputs. …”
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Insurance claims estimation and fraud detection with optimized deep learning techniques by P. Anand Kumar, S. Sountharrajan

“…Abstract Estimation and fraud detection in the case of insurance claims play a cardinal role in the insurance sector. With accurate estimation of insurance claims, insurers can have good risk perceptions and disburse compensation within proper time, while fraud prevention helps deter massive monetary loss from fraudulent activities. …”
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The Utopian Internet, Computing, Communication, and Concrete Utopias: Reading William Morris, Peter Kropotkin, Ursula K. Le Guin, and P.M. in the Light of Digital Socialism by Christian Fuchs

“…The paper develops a communist allocation algorithm needed in a communist economy for the allocation of goods based on the decentralised satisfaction of needs. …”
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Intelligent Computation Offloading for IoT Applications in Scalable Edge Computing Using Artificial Bee Colony Optimization by Mohammad Babar, Muhammad Sohail Khan, Ahmad Din, Farman Ali, Usman Habib, Kyung Sup Kwak

“…Most of the IoT-based smart systems require low latency and crisp response time for their applications. …”
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Integrative radiomics of intra- and peri-tumoral features for enhanced risk prediction in thymic tumors: a multimodal analysis of tumor microenvironment contributions by Liang zhu, Jiamin Li, Xuefeng Wang, Yan He, Siyuan Li, Shuyan He, Biao Deng

“…Abstract Objectives This study aims to explore the role of intra- and peri-tumoral radiomics features in tumor risk prediction, with a particular focus on the impact of peri-tumoral characteristics on the tumor microenvironment. …”
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Distributed Impulsive Consensus of the Multiagent System without Velocity Measurement by Zhi-Wei Liu, Hong Zhou, Zhi-Hong Guan, Wen-Shan Hu, Li Ding, Wei Wang

“…It is shown that the control gains, the sampled period and the eigenvalues of Laplacian matrix of communication graph play key roles in achieving consensus. Finally, a numerical simulation is provided to illustrate the effectiveness of the proposed algorithm.…”
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Predicting forest carbon storage and identifying hotspot in the Loess Plateau under future climate change–supporting China's dual carbon strategy by Haihong Qiu, Hairong Han, Xiaoqin Cheng, Fengfeng Kang

“…Forests play a crucial role in the global carbon cycle and climate change mitigation. …”
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A deep neural network approach for optimizing charging behavior for electric vehicle ride-hailing fleet by Kaizhe Chen, Jin Liu, Wenjing Lyu, Tianyuan Wang, Jinxi Wen

“…Therefore, this research develops a Neural Network (NN) trained with the Adaptive Moment Estimation (Adam) algorithm, based on 2.14 million charging events. The goal is to analyze current charging behaviors and evaluate the impact of key variables on costs and emissions, providing data-driven insights for potential improvements, thus addressing a critical research gap. …”
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Multiple-level thresholding for breast mass detection by Xiang Yu, Shui-Hua Wang, Yu-Dong Zhang

“…Detection of breast mass plays a very important role in making the diagnosis of breast cancer. For faster detection of breast cancer caused by breast mass, we developed a novel and efficient patch-based breast mass detection system for mammography images. …”
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Small Target Detection for Power Line Components in Complex UAV Imagery by Zhiyuan Sun, Xu Wang

“…To address the limitations of existing algorithms—particularly their low efficiency in detecting small objects and poor accuracy in complex backgrounds—we propose a defect detection model for transmission line components based on YOLOv5. …”
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Progressive multi-scale multi-attention fusion for hyperspectral image classification by Hu Wang, Sixiang Quan, Jun Liu, Hai Xiao, Yingying Peng, Zhihui Wang, Huali Li

“…Abstract In recent years, due to the unique spatial-spectral characteristics of hyperspectral images, they have played a crucial role in many fields. The effective extraction of features using deep neural networks, followed by the design of efficient and high-precision network algorithm structures, has gradually become a research hotspot. …”
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Enhanced Category-Feature Association Measure by Soran S. Badawi, Ari M. Saeed, Sara A. Ahmed, Diyari A. Hassan

“…This one-of-a-kind approach emphasizes the key role of ancillary terms in classifying and differentiating categories. …”
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Phenotypic variation in otolith shape of American shad across eastern North American rivers by Joana Vasconcelos, Karin E. Limburg, José Luis Oterro-Ferrer, Víctor M. Tuset

“…Using a wavelet transform framework based on the à trous algorithm and B3-spline wavelet, we quantified otolith shape variability and assessed its effectiveness for population discrimination. …”
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