Analysis of the capabilities of an information system for improving sleep quality based on biometric data analysis by M.S. Graf, A.V. Yakoniuk, D.V. Krant, I.I. Golovach

“…The system is able to function independently thanks to the use of machine learning algorithms, including LSTM for prediction, Kalman filter for data cleaning, Isolation Forest for anomaly detection, and K-means for clustering sleep patterns.…”
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YOLO-BOS: An Emerging Approach for Vehicle Detection with a Novel BRSA Mechanism by Liang Zhao, Lulu Fu, Xin Jia, Beibei Cui, Xianchao Zhu, Junwei Jin

“…Lastly, we introduce Shape-IOU, a new loss function that significantly enhances the accuracy and robustness of detection results for vehicles of varying sizes. …”
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Optimizing Power Consumption in Aquaculture Cooling Systems: A Bayesian Optimization and XGBoost Approach Under Limited Data by Sina Ghaemi, Hessam Gholmohamadi, Amjad Anvari-Moghaddam, Birgitte Bak-Jensen

“…Based on this model, Bayesian Optimization with the Lower Confidence Bound (LCB) acquisition function is used to determine the optimal discharge temperature of water into breeding pools, minimizing day-ahead electricity costs. …”
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Mathematical model of data collection and processing for a recommendation system for forming an individualized educational program by O.H. Hlazunova, Y.Y. Ponzel

“…In the current implementation, ML.NET tools are used, which automate the process of matrix factorization and loss function minimization, simplifying the development and tuning of the model. …”
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Integrating Phenological Priors with Deep Spatio-Temporal Features for tree species mapping by Z. Ma, N. Zhu, Z. Dong, R. Chen, B. Yang, Z. Chen, C. Long, R. Ding

“…Our model’s loss function incorporates phenological priors, utilizing ground-based phenological data and tree species labels as supervisory signals to guide the learning of spatio-temporal encoders. …”
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Key frame extraction algorithm for surveillance videos using an evolutionary approach by Manjusha Rajan, Latha Parameswaran

“…This proposed method leverages an interactive GA with a well-designed Fitness Function and elitism-based survivor selection to enhance performance. …”
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An integrative review on the orexin system and hypothalamic dysfunction in myalgic encephalomyelitis/chronic fatigue syndrome: implications for precision medicine by Noé López-Amador

“…The integration of orexin profiling with multi-omics data and machine learning strategies provides a viable pathway towards precision-medicine interventions for this heterogeneous condition.…”
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Research on Spread Spectrum Codes Optimized by Sparrow Search Algorithm and Extreme Gradient Boosting by LIANG Zhiru, BIAN Dongming, ZHANG Gengxin

“…To address the problem of low success rate of spread code identification for low signal-to-noise ratio DSSS signals, this paper combines the Third-order Correlation Function (TCF) of <italic>m</italic>-sequences and its peak characteristics to identify the pseudo-code period of DSSS signals as prior information through power spectrum secondary processing on the premise of denoising preprocessing. …”
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A HEN-PPO strategy for home energy management system with reduce EV anxieties by Ajay Singh, B.K. Panigrahi

“…The modification of the reward function for the system has been taken into account to address the distinct human behavior of randomly distributed cases of EV anxiety about range and time in conjunction with the optimal utilization of photovoltaic (PV) generation. …”
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Hybrid mechanism‐data‐driven iron loss modelling for permanent magnet synchronous motors considering multiphysics coupling effects by Lin Liu, Wenliang Yin, Youguang Guo

“…By defining a suitable loss function, the pre‐trained model was fine‐tuned and optimised using a small amount of actual data. …”
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Characterizing changes in the rate of protein-protein dissociation upon interface mutation using hotspot energy and organization. by Rudi Agius, Mieczyslaw Torchala, Iain H Moal, Juan Fernández-Recio, Paul A Bates

“…Our results also indicate that the distribution of the critical stability regions across protein-protein interfaces is a function of complex size more strongly than interface area. …”
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Förord by Johan Söderman, Björn Sundmark

“…I artikeln The construction of mathematical knowledge and learning in and through individual education plans fokuserar Lena Sjöberg på individuella studieplaner inom matematikämnet. …”
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Myelin dysfunction in aging and brain disorders: mechanisms and therapeutic opportunities by Zhihai Huang, Yulan Zhang, Peibin Zou, Xuemei Zong, Quanguang Zhang

“…Abstract Myelin is a multilamellar membrane that surrounds axons in the vertebrate nervous system. Properly functioning myelin is essential for the rapid conduction of nerve impulses, and it metabolically supports axonal integrity. …”
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Lightweight Detection of Train Underframe Bolts Based on SFCA-YOLOv8s by Zixiao Li, Jinjin Li, Chuanlong Zhang, Huajun Dong

“…Additionally, the CA attention mechanism is introduced, and MPDIoU is used as the loss function of YOLOv8s. LAMP scores are used to rank the model weight parameters, and unimportant weight parameters are pruned to achieve model compression. …”
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I-NeRV: A Single-Network Implicit Neural Representation for Efficient Video Inpainting by Jie Ji, Shuxuan Fu, Jiaju Man

“…Deep learning methods based on implicit neural representations offer an efficient and automated solution for video inpainting by leveraging the inherent characteristics of video data. …”
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Low-cost, synthetic model for training and simulation of open and semi-open rhinoplasty by Arthur Antunes Coimbra Pinheiro Pacífico, Bárbara Matos de Carvalho Borges, Anna Letícia Silveira Parnaíba, Marco Antônio de Lucena Furtado, Samy Lima Carneiro, Mateus Pinheiro Fernandes Feitosa Arrais, Davi Sousa Garcia

“…Introduction: Rhinoplasty is indicated for performing aesthetic repairs in the nose, being functional when it also seeks to improve respiratory function. …”
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Benthic invertebrates in the Wadden Sea form a stable community characterized by facilitating relationships by Mark Rademaker, Paula de laBarra, Anieke vanLeeuwen, Allert I. Bijleveld

“…The interactions between benthic invertebrate species also play an important role in shaping the ecological functioning of these ecosystems. Here, we used a deep‐learning species distribution model to characterize the interspecific interactions occurring in an intertidal benthic invertebrate community while accounting for abiotic factors. …”
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Improved Face Image Super-Resolution Model Based on Generative Adversarial Network by Qingyu Liu, Yeguo Sun, Lei Chen, Lei Liu

“…Additionally, a phase-wise training strategy with dynamic adjustment of learning rate (Lr) and loss function weights is implemented to improve the realism of super-resolved face images. …”
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Enhancing classification of a large lower-limb motor imagery EEG dataset for BCI in knee pain patients by Chongwen Zuo, Yi Yin, Haochong Wang, Zhiyang Zheng, Xiaoyan Ma, Yuan Yang, Jue Wang, Shan Wang, Zi-gang Huang, Chaoqun Ye

“…Abstract Chronic knee osteoarthritis pain significantly impacts patients’ quality of life and motor function. While motor imagery (MI)-based brain-computer interface (BCI) systems have shown promise in rehabilitation, their application to lower-limb conditions, particularly in pain patients, is underexplored. …”
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Calculation of Neural Network Weights and Biases Using Particle Swarm Optimization by Jerin Paul Selvan, Girish Pandurang Potdar

“…Various machine learning techniques and algorithms have been used to address, and are still being used to tackle, several real-world issues. …”
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