Hybrid Optimized Feature Selection and Deep Learning Method for Emotion Recognition That Uses EEG Data by asmaa Bashar Hmaza, Rajaa K. Hasoun

“…It provides an intuitive way for humans to interact with machines emotionally by understanding the emotion machine. The process begins with collecting and preprocessing EEG information to use the data for training and testing the proposed system. …”
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Seismic first break picking based on multi-task learning by Zhongpo Zhang, Jing Yang

“…The introduction of the seismic feature learning decoding branch will further help the network encoder to extract seismic effective features more efficiently, which will improve the accuracy of the ISS decoding branch, and ultimately improve the accuracy of the FB picking. During the training process, we use different loss functions for different decoding branches, and guide the network fitting through joint loss. …”
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Expression of DNA repair and cell cycle control genes in HPV infection by E. V. Mashkina, V. V. Volchik, E. S. Muzlaeva, E. G. Derevyanchuk

“…At the same time, the risk of developing a malignant process increases with an increase in viral load. …”
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New Trends for the Evaluation of Heat Treatments of Milk by Mena Ritota, Maria Gabriella Di Costanzo, Maria Mattera, Pamela Manzi

“…Milk heat treatments are the most common practices carried out to inhibit the microbial growth; therefore it is necessary to have analytical procedures that are more and more up-to-date and capable of detecting the effectiveness of the heat treatments. …”
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The Design of Food Safety Management System (FSMS) Plan for Rice Fortification Kernel (RFK) Factory – A Case Study by T. Khatun, M. Asaduzzaman

“…These points focused on maintaining the proper extruder temperature and implementing metal detection to identify foreign and unwanted materials in the final product. …”
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Piezoresistive Effect: A New Concept for Hearing Aids by Mengyao Gao, Weijie Liu, Kun Chen, Huili Sun, Xiaoqing Liu, Haonan Xing, Huatang Wang, Benpeng Zhu, Haizhong Guo

“…Utilizing piezoresistive effects, a hearing aid with a detection sound threshold of 60 dB and a frequency range of 20–4000 Hz is achieved, which provides a feasible scheme in hearing aids.…”
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Optmization of exposure parameters in digital mammography (CR) using figure of merit by Isabela Soares de Morais, Peterson Lima Squair, Maria do Socorro Nogueira Tavares

“…The optimization process was performed on the Siemens Mammomat 3000 Nova Mammograph and the Kodak Direct View CR 850 System CR scanning system using two breast, PMMA and CIRS simulators in the following thicknesses: 2, 4.5 and 7 cm. …”
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RODA-OOD: Robust Domain Adaptation from Out-of-Distribution Data by Jaekyun Jeong, Mangyu Lee, Sunguk Yun, Keejun Han, Jungeun Kim

“…In practice, Out-Of-Distribution (OOD) data which do not share labels with the existing data may also be collected during the target data collection process. These OOD data introduce noise and confusion, leading to decreased performance during adaptation. …”
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Advancing ECG Signal Classification With a Fuzzy Classifier Approach by Jan Rabcan, Vitaly Levashenko, Elena Zaitseva, Miroslav Kvassay

“…These methods generally follow a two-stage process: signal preprocessing and classification. …”
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Urban tree health diagnosis approach based on thermal image and deep learning model by Le Ngoc Thien, Vuong Nhi Bui, Nguyen Khoa Nguyen, Gia Khang Pham Xuan, Gia Minh Nguyen

“…Our approach leverages the advantages of thermal imaging in detecting temperature variations associated with various tree health conditions, and the power of deep learning in automating the diagnosis process. …”
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Seismic Data Acquisition Utilizing a Group of UAVs by Artem Timoshenko, Grigoriy Yashin, Valerii Serpiva, Rustam Hamadov, Dmitry Fedotov, Mariia Kartashova, Pavel Golikov

“…Seismic exploration in hard-to-reach hazardous environments like deserts is a very expensive and time-consuming process that involves a lot of human resources and equipment. …”
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A lung nodule segmentation model based on the transformer with multiple thresholds and coordinate attention by Tianjiao Hu, Yihua Lan, Yingqi Zhang, Jiashu Xu, Shuai Li, Chih-Cheng Hung

“…However, during the encoding process, most models have limitations in extracting edge and semantic information and in capturing long-range dependencies. …”
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Atomic-scale observation of geometric reconstruction in a fluorine-intercalated infinite layer nickelate superlattice by Chao Yang, Roberto A. Ortiz, Hongguang Wang, Wilfried Sigle, Kelvin Anggara, Eva Benckiser, Bernhard Keimer, Peter A. van Aken

“…Abstract Anion doping offers immense potential for tailoring material properties, but precise control over anion incorporation remains challenging due to complex synthesis and limitations in dopant detection. This study investigates F-ion intercalation within an infinite-layer NdNiO2+x /SrTiO3 superlattice using a two-step process. …”
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NUGGETS PREPARED USING MECHANICALLY SEPARATED MEAT (MSM) OBTAINED FROM TILAPIA CARCASSES AND CASSAVA DOUGH by Rafael Gomes Abreu BACELAR, Marília Da Silva SOUSA, José Humberto SANTOS FILHO, Nathálya de Oliveira MOURA, Maria Christina Sanches MURATORI

“…The aim of this study was to develop Mechanically Separated Meat (MSM) nuggets produced using tilapia fillet residues (obtained from the filleting process performed at the Fish Market in Teresina, Piauí, Brazil) and cassava dough. …”
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Optimising Sensor Placement in Heritage Buildings: A Comparison of Model-Based and Data-Driven Approaches by Estefanía Chaves, Alberto Barontini, Nuno Mendes, Víctor Compán

“…The results underscore the decisive impact of the input data on the optimisation process. Although calibrated models may improve certain modal parameters, they do not necessarily translate into better sensor configurations. …”
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Real-time discrimination of earthquake signals by integrating artificial intelligence technology into IoT devices by Zhi Geng, Yanfei Wang, Wenyong Pan, Caixia Yu, Zhijing Bai, Hongzhou Zhang

“…This model encodes the discrimination process as a single numerical value, offering interpretability with only 2693 parameters. …”
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Impact of UAV-Derived RTK/PPK Products on Geometric Correction of VHR Satellite Imagery by Muhammed Enes Atik, Mehmet Arkali, Saziye Ozge Atik

“…Satellite imagery is a widely used source of spatial information in many applications, such as land use/land cover, object detection, agricultural monitoring, and urban area monitoring. …”
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Scalable Fabrication of Highly Organized, Horizontally Aligned Sub‐5 nm Silicon Nanowires via Chemical Vapor Etching by Juyeon Seo, Peiyun Feng, Jianlin Li, Sanghyun Hong, Sen Gao, Ji Young Byun, Yung Joon Jung

“…The efficacy of this unique structure is demonstrated as a single‐molecule detectable surface‐enhanced Raman scattering sensor, incorporating sub‐10 nm silver plasmonic nanoparticles. …”
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A Systematic Review of Cyber Threat Intelligence: The Effectiveness of Technologies, Strategies, and Collaborations in Combating Modern Threats by Pedro Santos, Rafael Abreu, Manuel J. C. S. Reis, Carlos Serôdio, Frederico Branco

“…This number reflects a rigorous selection process based on defined inclusion, exclusion, and quality criteria and is consistent with the scope of similar systematic reviews in the field of cyber threat intelligence. …”
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Topographic Localization of the Demarcation Line after UV Corneal Crosslinking in Progressive Keratoconus by M. M. Bikbov, V. K. Surkova, A. R. Khalimov, E. L. Usubov, L. I. Khalimova

“…The corneal stromal (обычно) demarcation line is one of the indicators of the depth of photochemical process of corneal cross-linking. Optimal timing of detection of DL following corneal collagen crosslinking is 2 weeks — 3 months. …”
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