Enhancing seizure detection with hybrid XGBoost and recurrent neural networks by Santushti Santosh Betgeri, Madhu Shukla, Dinesh Kumar, Surbhi B. Khan, Muhammad Attique Khan, Nora A. Alkhaldi

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Wearable Regionally Trained AI-Enabled Bruxism-Detection System by Anusha Ishtiaq, Jahanzeb Gul, Zia Mohy Ud Din, Azhar Imran, Khalil El Hindi

“…The EMG signals’ data of 30 regional subjects, with 5 trials each, have been acquired and pre-processed using filters and three data oversampling techniques, SMOTE, SMOTE-ENN, and ADSYN. …”
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THANTD: Triplet Hybrid Attention Network for Hyperspectral Target Detection by Ju Liu, Haoqian Wang, Xiangai Cheng, Zhongyang Xing, Zhongjie Xu

“…Hyperspectral images (HSIs), characterized by their rich spatial–spectral information, have been widely utilized in hyperspectral target detection (HTD), a key area within hyperspectral remote sensing information processing. …”
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Multimodal depression detection based on an attention graph convolution and transformer by Xiaowen Jia, Jingxia Chen, Kexin Liu, Qian Wang, Jialing He

“…Traditional depression detection methods typically rely on single-modal data, but these approaches are limited by individual differences, noise interference, and emotional fluctuations. …”
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SARE: an optimized method for detection functional regulatory elements in genome by Mohammadjavad Hosseinpoor

“…The SARE method addresses the limitations of traditional fixed-fragment approaches by detecting variable-length regulatory elements. The Hi-C dataset utilized in this research was derived from mouse embryonic stem cells (ESCs) and processed using advanced filtering techniques to retain valid interactions. …”
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Schizophrenia Detection and Classification: A Systematic Review of the Last Decade by Arghyasree Saha, Seungmin Park, Zong Woo Geem, Pawan Kumar Singh

“…By automating decision-making processes based on predefined thresholds, AI enhances the accuracy and reliability of healthcare data analysis, reducing the need for human intervention. …”
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Lightweight detection algorithms for small targets on unmanned mining trucks by Shuoqi CHENG, Yilihamu·YAERMAIMAITI, Lirong XIE, Xiyu LI, Ying MA

“…It enhances multi-scale feature fusion capability via weighted feature fusion, significantly reducing parameter count while improving small target detection capability. Additionally, it designs a detection decoupling head with a multi-head attention mechanism to improve the issue of network complexity caused by convolutional layer redundancy, processes spatial dimensions to focus on capturing target features, reduces interference from irrelevant backgrounds, and enhances the accuracy of occluded target recognition.urthermore, it constructs a lightweight neural network with dual convolution (CDC), enhancing inter-channel information flow, improving model feature expression capability, and reducing model complexity. …”
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Advancing arabic dialect detection with hybrid stacked transformer models by Hager Saleh, Hager Saleh, Hager Saleh, Abdulaziz AlMohimeed, Rasha Hassan, Mandour M. Ibrahim, Saeed Hamood Alsamhi, Moatamad Refaat Hassan, Sherif Mostafa

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TATPat based explainable EEG model for neonatal seizure detection by Turker Tuncer, Sengul Dogan, Irem Tasci, Burak Tasci, Rena Hajiyeva

“…Therefore, EEG signal processing is very important for neuroscience and machine learning (ML). …”
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Early Detection of Soil Salinization by Means of Spaceborne Hyperspectral Imagery by Giacomo Lazzeri, Robert Milewski, Saskia Foerster, Sandro Moretti, Sabine Chabrillat

“…Both datasets were pre-processed with multiple data transformation algorithms and 2D correlograms, PLSR and the Random Forest regressor were tested to identify the best model for salinity detection. …”
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Improved cell search algorithm for 5G NR by Baojiang DONG, Chen PENG, He LU

“…The era of 5G NR has higher requirements for speed, capacity and user experience.In 5G NR physical layer, cell search is an indispensable process.Cell search mainly includes primary synchronization signal (PSS) detection algorithm and secondary synchronization signal (SSS) detection algorithm.The traditional PSS detection algorithm and SSS detection algorithm can’t satisfy the basic requirements of 5G NR.In order to solve this problem, an improved PSS detection algorithm based on the traditional M-segment cross-correlation detection algorithm was proposed.When the channel environment is bad, the traditional SSS detection algorithm will also fail.The improved SSS detection algorithm proposed can solve this problem.Finally, the traditional algorithm and the improved algorithm were compared and analyzed.The simulation results show that the detection performance of the proposed algorithm is significantly improved, and the detection efficiency and overall performance are also improved.…”
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A Deep Learning-Based Algorithm for Ceramic Product Defect Detection by Junxiang Diao, Hua Wei, Yawei Zhou, Zhihua Diao

“…This algorithm exhibits significant potential in the field of ceramic product defect detection, providing solid technical support for optimizing the ceramic product manufacturing process.…”
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An efficient real-time signal processing method for satellite laser ranging. by Jinyu Wang, Wei Zhu, Weiming Gong

“…In recent years, various real-time processing methods have been developed for Satellite Laser Ranging (SLR) data. …”
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Parameterized Hardware Design on Reconfigurable Computers: An Image Processing Case Study by Miaoqing Huang, Olivier Serres, Tarek El-Ghazawi, Gregory Newby

“…On the other hand, an application such as edge detection can directly read data through the interconnect in a sequential fashion. …”
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Systematic Approach to Processing and Analysis Diagnostic Indicators of Electrocardiograms Based on Labview by M. T. Magrupova, Yo. T. Talatov

“…Development of algorithms and software for processing and analysis of electrocardiograms (ECGs), as well as calculation of heart rate and detection of arrhythmias based on Labview.Materials and methods. …”
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Discovery of Extraterrestrial 244Pu in 2 Million Year Old Fossilized Stromatolites by Shawn Bishop, Iuliana Stanciu, Albert Cabré, Craig Feibel, Doru Pacesila, Alexandru Petre, Paul Mereuta, Livius Trache, Marian Virgolici, Cosmin Pintilie, Andreea Serban, Antonio Petraglia, Filippo Terrasi, Fabio Marzaioli, Giuseppe Porzio, Raffaele Buompane, Lucio Gialanella

“…From our findings, we evaluate a terrestrial fluence between 0.2 and 4.7 × 10 ^3 at ​​​​cm ^−2 , in relative agreement with previous studies. The detection of the r -process ^244 Pu around 2 Ma ago raises the possibility of a common supernova origin with ^60 Fe; however, alternative scenarios, such as the production of ^244 Pu in NSMs or other cosmic events and its transport to Earth alongside ^60 Fe via interstellar debris, cannot be ruled out, highlighting the need to consider multiple mechanisms for isotopic transport in the cosmos.…”
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RESEARCH OF THE TEXT PROCESSING METHODS IN ORGANIZATION OF ELECTRONIC STORAGES OF INFORMATION OBJECTS by Olesia Barkovska, Viktor Khomych, Oleksandr Nastenko

“…The following results were obtained: in the course of the research fulfillment the generalized model of the scanned documents classification system that consist of image processing unit and text processing unit that include unit of the scanned image previous processing; text detection unit; previous text processing; compiling of the frequency dictionary; text proximity detection was offered. …”
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Review of Image Processing Methods for Surface and Tool Condition Assessments in Machining by Ali Ercetin, Oguzhan Der, Fatih Akkoyun, Manjunath Patel Gowdru Chandrashekarappa, Ramazan Şener, Mücahit Çalışan, Nevzat Olgun, Ganesh Chate, Kurki Nagaraja Bharath

“…It examines the integration of image processing in traditional Computer Numerical Control (CNC) machining and micromachining, focusing on its role in tool wear analysis, workpiece detection, automatic CNC programming, and defect inspection. …”
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Optimization of fermentation process for tangerine peel mead by response surface methodology by GUO Nannan, ZHANG Xinru, ZHANG Jie

“…And the physicochemical indicators and volatile flavor components of tangerine peel mead were detected and analyzed by conventional detection methods and gas chromatography-tandem mass spectrometry (GC-MS/MS). …”
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SEPO-IR: Software-based evaluation process for calculating infection rate by Hongseok Oh, Hanseul Oh, Jaemin Jeong, Soochong Kim, Kyungchang Jeong, Sang-Hwan Hyun, Ji-Hoon Jeong, Young-Duk Seo, Euijong Lee

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