Sensory integration research: priority scientific directions based on the analysis of Web of Science Core Collection resources by Olha Podrihalo, Wladyslaw Jagiello, Guo Xiaohong, Leonid Podrigalo, Tetiana Yermakova, Miroslawa Cieslicka

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AI for Sustainable Recycling: Efficient Model Optimization for Waste Classification Systems by Oriol Chacón-Albero, Mario Campos-Mocholí, Cédric Marco-Detchart, Vicente Julian, Jaime Andrés Rincon, Vicent Botti

“…We introduce an expanded dataset that includes an organic waste class and more heterogeneous images, and evaluate a range of quantized CNN models to reduce inference time and resource usage. Additionally, we explore ensemble strategies using aggregation functions to boost classification performance, and validate selected models on real embedded hardware and under simulated lighting variations. …”
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Functional Data Analysis for Prediction of Employee Presence by Nouhaila Goujili, Matthieu Saumard, Nicolas Cochard, Maher Jridi

“…Accurate presence prediction tools can optimize resource utilization and support strategic decisions in corporate real estate. …”
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Image Processing for Laser Impact Detection in Shooting Simulators by José Antonio García Torres, Daniel Guzmán Pérez, Jhon Fredy Rincón Morantes, Daniel Felipe Molina Martínez, Cristian Camilo García Rodríguez, Jhonnatan Eduardo Zamudio Palacios

“…Moreover, wired setups limit their use in outdoor environments due to the lack of access to a power source. This study developed an image-processing-based method to replace live ammunition with a laser-emitting device. …”
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Municipal secondary-treated effluent data seem to be a suitable source of information for human viral trends by Elsa T. Rodrigues, Joana M. Oliveira, Anália Carmo, Miguel A. Pardal, Ana M. Matos

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Bias‐Independent True Random Number Generator Circuit using Memristor Noise Signals as Entropy Source by Jinwoo Park, Hyunjoong Kim, Hyungjin Kim

“…Finally, the performance of the designed TRNG circuit is evaluated using autocorrelation functions and National Institute of Standards and Technology tests, confirming its capability to produce random number bitstreams.…”
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Infrared Satellite Detection Limits for Monitoring Atmospheric Ammonia by Mark W. Shephard, Shailesh K. Kharol, Enrico Dammers, Christopher E. Sioris, Andrew Bell, Rik Jansen, Jerome Caron, Ralph Snel, Emanuela Palombo, Karen E. Cady-Pereira, Chris A. McLinden, Erik Lutsch, Robert O. Knuteson

“…Information on the frequency of a given detection limit, and the cumulative probability of detection, are provided as a function of instrument spectral resolution and noise. …”
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Nitrogen and CO2 enrichment interact to decrease biodiversity impact on complementarity and selection effects by Mengjiao Huang, Peter B. Reich, Shaopeng Wang, Yanhao Feng, Pubin Hong, Kathryn E. Barry, Miao He, Shengman Lyu, Shurong Zhou, Neha Mohanbabu, Forest Isbell, Yann Hautier

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Identification of positive selection signatures associated with milk and composition traits in Murciano-Granadina and Barki by Hossein Mohammadi, amir hossien khaltabadi farahani, Mohammad Hossein Moradi

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Forecasting dengue in Bangladesh using meteorological variables with a novel feature selection approach by Mahadee Al Mobin

“…A novel wrapper feature selection algorithm employing a custom objective function is proposed in this study, which significantly improves model accuracy by 12.63% and reduces the mean absolute percentage error by 70.82%. …”
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A Hybrid Decision-Making Model for Optimal Portfolio Selection under Interval Uncertainty by Mohsen Zahmati Iraj, Meysam Doaei

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Educational content selection in human rights education at the early childhood education and care level by Anette Ringen Rosenberg

“…It aims to discuss the function of four content selection dimensions for discussing HRE content at the ECEC level. …”
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Client Selection for Generalization in Accelerated Federated Learning: A Multi-Armed Bandit Approach by Dan Ben Ami, Kobi Cohen, Qing Zhao

“…It has attracted a growing interest in recent years due to its advantages in terms of privacy considerations, and communication resources. In FL, selected clients train their local models and send a function of the models to the server, which consumes a random processing and transmission time. …”
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Signatures of positive selection for local adaptation of African native cattle populations: A review by Wondossen AYALEW, Xiao-yun WU, Getinet Mekuriaw TAREKEGN, Min CHU, Chun-nian LIANG, Tesfaye SISAY TESSEMA, Ping YAN

“…Although there are no functional genomics studies, recent advancements in genotyping and sequencing technologies have identified and annotated limited functional genes and causal variants associated with unique adaptive and economical traits of African cattle populations. …”
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Genomic signal selection analysis reveals genes related to the lambing trait of Hotan sheep by XinKun Wang, Wei Li, QiaoYan Huang, HuiPing Sun, LeXiao Zhu, RuoHuai Gu, Feng Xing

“…We identified 290 selected regions and 332 genes across the Hotan sheep genome by using two widely adopted selective scanning detection methods (FST statistics and Piratio). …”
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Advanced Nanoscale Functionalities for Water and Energy Technologies by Zhi Xu, Nan Wu, Soufiane Abdelghani‐Idrissi, Corentin Trégouët, Javier Perez‐Carvajal, Annie Colin, Ming Ma, Antoine Niguès, Alessandro Siria

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An AI-Based Open-Source Software for <i>Varroa</i> Mite Fall Analysis in Honeybee Colonies by Jesús Yániz, Matías Casalongue, Francisco Javier Martinez-de-Pison, Miguel Angel Silvestre, Beeguards Consortium, Pilar Santolaria, Jose Divasón

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Is Clonal Integration a Buffer for the Stress of Resource Acquisition Depletion in <i>Eichhornia crassipes</i> (Pontederiaceae) Ramets? by Guilherme Ramos Demetrio, Dalton Serafim, Flávia de Freitas Coelho

“…Natural selection favors the allocation of finite resources to different functions maximizing fitness. …”
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High-Quality and Enhanced-Resolution Single-Pixel Imaging Based on Spiral Line Array Laser Source by Guozhong Lei, Haolong Jia, Wenchang Lai, Wenhui Wang, Wenda Cui, Yan Wang, Hao Liu, Kai Han

“…We propose a spiral line array laser source which can generate random illumination light fields without periodicity in the normalized second-order correlation function <italic>g</italic>⁽²⁾. …”
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Distributed Decision Making for Electromagnetic Radiation Source Localization Using Multi-Agent Deep Reinforcement Learning by Jiteng Chen, Zehui Zhang, Dan Fan, Chaoqun Hou, Yue Zhang, Teng Hou, Xiangni Zou, Jun Zhao

“…The detection and localization of radiation sources in urban areas present significant challenges in electromagnetic spectrum operations, particularly with the proliferation of small UAVs. …”
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