Advanced Classifiers and Feature Reduction for Accurate Insomnia Detection Using Multimodal Dataset by Ameya Chatur, Mostafa Haghi, Nagarajan Ganapathy, Nima TaheriNejad, Ralf Seepold, Natividad Martinez Madrid

“…Sleep deprivation is a significant contributor to various diseases, leading to poor cognitive function, decreased performance, and heart disorders. …”
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Design and Analysis of Plasma-Based Reconfigurable Maxwell Fish-Eye-Lens Antennas by Jafar Bazrafshan, Fatemeh Sadeghikia, Mohamed Himdi, Ali Karami Horestani, Hajar Binti Ja'afar

“…To this end, the refractive index profile of this lens is theoretically derived based on the hyperbolic function model, employing a stepped index profile to discretize the refractive index along its radius, resulting in a staircase-like profile. …”
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SoftGrasp: Adaptive grasping for dexterous hand based on multimodal imitation learning by Yihong Li, Ce Guo, Junkai Ren, Bailiang Chen, Chuang Cheng, Hui Zhang, Huimin Lu

“…Biomimetic grasping is crucial for robots to interact with the environment and perform complex tasks, making it a key focus in robotics and embodied intelligence. …”
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Clinical features and outcomes of nine children with acute necrotizing encephalopathy by Yahua Zhang, Lei He, Jingran Xu, Piaosi Wang, Hehe Chen

“…Survivors were followed up and their function evaluated using the Pediatric Overall Performance Category scale.ResultsPatients (age range 9 months to 14 years) predominantly presented with fever, seizure and altered consciousness. …”
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Solution of optimal power flow with wind power uncertainty using hybridized self-adaptive differential evolution by Harish Pulluri, Tellapati Anuradha Devi, Narsimha Reddy Kuppireddy, Preeti Dahiya, Ch. Naga sai kalyan, B. Srikanth Goud, Mohammad Shorfuzzaman, Ali ELrashidi, Waleed Nureldeen, Ch. Rami Reddy

“…Furthermore, Kruskal-Wallis test is performed to show the effectiveness of the proposed ESDE-MC method.…”
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An Improved YOLOv8 Model for Detecting Four Stages of Tomato Ripening and Its Application Deployment in a Greenhouse Environment by Haoran Sun, Qi Zheng, Weixiang Yao, Junyong Wang, Changliang Liu, Huiduo Yu, Chunling Chen

“…Further, Shape_IoU replaced CIoU as the loss function, prioritizing bounding box shape and size for improved detection accuracy. …”
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A Gravity Data Denoising Method Based on Multi-Scale Attention Mechanism and Physical Constraints Using U-Net by Bing Liu, Houpu Li, Shaofeng Bian, Chaoliang Zhang, Bing Ji, Yujie Zhang

“…Furthermore, a Laplace consistency constraint is introduced into the loss function to enhance denoising performance and physical interpretability. …”
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Development and Validation of a Predictive Model for Growth of Salmonella Infantis in Ground Turkey by Thomas P. Oscar

“…Secondary models for primary model parameters were developed and used in the primary model to create a tertiary model that predicted the growth of Salmonella Infantis in ground turkey as a function of time and temperature. Data and tertiary model predictions were evaluated using the test data, model performance, and model validation criteria of the Acceptable Prediction Zones method in the Validation Software Tool. …”
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Enhanced multi-objective Evolutionary Mating Algorithm with improved crowding distance and Levy flight for optimizing comfort index and energy consumption in smart buildings by Muhammad Naim Bin Nordin, Mohd Herwan Sulaiman, Nor Farizan Zakaria, Zuriani Mustaffa

“…These enhancements enable MOEMA to effectively navigate complex multi-objective landscapes, leading to more diverse and well-converged Pareto-optimal solutions. The algorithm's performance is thoroughly assessed using the chosen benchmark functions and validated through practical applications in smart building environments. …”
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Modeling and robust control of a parallel robotic mechanism driven by linear actuators based on shape memory alloys by Alejandro Guarneros-Sandoval, Mariana Ballesteros, Rita Q. Fuentes-Aguilar, Isaac Chairez

“…The proposed controller is assessed by comparing a performance function related to the tracking error and the control energy used with the one obtained using a traditional proportional-derivative controller that does not consider the actuator model. …”
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Federated Learning Enhanced MLP–LSTM Modeling in an Integrated Deep Learning Pipeline for Stock Market Prediction by Jayaraman Kumarappan, Elakkiya Rajasekar, Subramaniyaswamy Vairavasundaram, Ketan Kotecha, Ambarish Kulkarni

“…A global model is created and updated through repeated training and totaling of parameters while preserving privacy of the data going to each node. In the performance evaluation, quantitative measures like Root-Mean-Square Error (RMSE), and accuracy are seven used. …”
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Targeting mutant p53: Evaluation of novel anti-p53R175H monoclonal antibodies as diagnostic tools by Diana Spiegelberg, Le-Ann Hwang, Khian Hong Pua, Sashwini Chandra Kumar, Xin Yu Koh, Xiao Hui Koh, Ram Kumar Selvaraju, Kanaga Sabapathy, Marika Nestor, David Lane

“…Therefore, monoclonal antibodies selectively targeting clinically relevant mutations like p53R175H could prove immensely value. We aimed to evaluate the in vitro and in vivo binding properties of two novel anti-p53R175H monoclonal antibodies and to assess their performance as agents for molecular imaging. …”
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Application of Deep Dictionary Learning and Predefined Filters for Classification of Retinal Optical Coherence Tomography Images by Fariba Shaker, Zahra Baharlouei, Gerlind Plonka, Hossein Rabbani

“…The first method, Simplified Deep Dictionary Learning (S-DDL), is based on deep dictionary learning, where the loss function enforces a sparse feature representation of input image patches before classification. …”
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Knowledge Improved Hybrid DNN–KAN Framework for Intrusion Detection in Wireless Sensor Networks by M. Sriraghavendra, Muna Elsadig, Ines Hilali Jaghdam, S. Abdel-Khalek, B. Galeebathullah, Salem Alkhalaf

“…The hybrid architecture employs a DNN for hierarchical feature extraction and replaces the fully connected layer with a KAN layer, leveraging the Kolmogorov-Arnold Theorem to decompose complex relationships into interpretable univariate functions. Evaluated on key metrics, the model achieves 99.87% accuracy, 99.85% precision, and a 0.9985 ROC-AUC score, significantly outperforming traditional DNNs, standalone KANs, and state-of-the-art models like CNN-LSTM and Transformer-based IDS. …”
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Enhancing Cybersecurity Through Fusion of Optimization With Deep Wavelet Neural Networks on Denial of Wallet Attack Detection in Serverless Computing by P. Renukadevi, Sibi Amaran, A. Vikram, T. Prabhakara Rao, Mohamad Khairi Ishak

“…This attack is mainly associated with serverless frameworks due to features like auto-scaling, cost amplification, pay-as-you-go, and limited control. …”
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A Survey of Automotive Radar Misalignment Detection Techniques by Danish Sharif, Sheriff Murtala, Gyu Sang Choi

“…Sensors like LiDAR, cameras, and radar are essential to ensure proper vehicle functioning and perception capabilities. …”
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The Design and Fabrication of a Ladder-Climbing Robot by Bathula Vineela Rathan, M. Tarun, P. H. J. Venkatesh, Y. Phaneendra

“…While some robots mimic human-like features, most are designed primarily for functionality rather than appearance. …”
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Wearable thermoelectric silver sulfides: From materials to applications by Arulpandi Subramani, Tamilmani Vairapperumal

“…This review discusses the crystal structure (polymorphism), the contribution of mechanical properties, and synthesis methods in the thermoelectric performance of silver sulfides. Detailed the different strategies like doping, substitution, composite formation, and nano-inclusion for the improvement of thermoelectric behaviors and device fabrication for real-time applications. …”
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The Effect of Task Cognitive Difficulty on Perceptual-Cognitive Indicators: Evidence on the Relationship Between Challenge Point Framework (CPF) and Cognitive Development in Table... by Taghi MM, Aghdaei M, Farsi A, Badicu G, de Sousa Fernandes MS, Yagin FH, Ardigò LP

“…But there was no significant difference between the groups.Discussion: These findings suggest that cognitive task difficulty, much like functional difficulty, aligns with predictions from the CPF, enhancing executive control and cognitive effort, and thereby supporting motor learning.Conclusion: Cognitive difficulty, like functional difficulty, takes advantage of the challenge point framework and improves cognitive–cognitive indicators.Keywords: task difficulty, attention networks, cognitive effort, challenge point, table tennis…”
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An Enhanced Crowned Porcupine Optimization Algorithm Based on Multiple Improvement Strategies by Wenli Lei, Yifan Gu, Jianyu Huang

“…Additionally, adaptive step tuning based on fitness values is employed to comprehensively improve the algorithm’s performance. To verify the effectiveness of ICPO, 23 standard functions were used for a comprehensive evaluation, and its practicality was further validated through optimization of actual engineering design problems. …”
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