A comparative study on the detection and localization of interictal epileptiform discharges in magnetoencephalography using optically pumped magnetometers versus superconducting qu... by Jiechuan Ren, Ming Ding, Yuming Peng, Chang Sun, Chunqing Yang, Shuxian Zhou, Jiayin Tian, Qun Wang, Zhimei Li

“…Methods: Patients with epilepsy underwent SQUID-MEG and 128-channel whole-scalp OPM-MEG examinations. IED detection, amplitude, signal-to-noise ratio (SNR), sensor-scalp distance, and source localization results were compared between OPM-MEG and SQUID-MEG through statistical analysis. …”
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The pipelines of deep learning-based plant image processing by Kaiyue Hong, Yun Zhou, Han Han

“…These innovations have profoundly impacted various aspects of plant research, including species identification, disease detection, cellular signaling analysis, and growth monitoring. …”
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Histopathological Image Analysis Using Deep Learning Framework by Sudha Rani Vupulluri, Jogendra Kumar Munagala

“…Modern medicine diagnoses and predicts diseases, including cancer, using histopathological image analysis. Due to picture identification and feature extraction, deep learning can automate and improve histopathological image analysis. …”
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DconnLoop: a deep learning model for predicting chromatin loops based on multi-source data integration by Junfeng Wang, Kuikui Cheng, Chaokun Yan, Huimin Luo, Junwei Luo

“…However, current mainstream detection methods rely primarily on single-source data, such as Hi-C, which limits these methods’ ability to capture the diverse features of chromatin loop structures. …”
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Statistical Characteristics and Community Analysis of Urban Road Networks by Wen-Long Shang, Yanyan Chen, Huibo Bi, Haoran Zhang, Changxi Ma, Washington Y. Ochieng

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Human Activity Recognition and Location Based on Temporal Analysis by Hongjin Ding, Faming Gong, Wenjuan Gong, Xiangbing Yuan, Yuhui Ma

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Construction of feature selection and efficacy prediction model for transformation therapy of locally advanced pancreatic cancer based on CT, 18F-FDG PET/CT, DNA mutation, and CA19... by Liang Qi, Xiang Li, Jiayao Ni, Yali Du, Qing Gu, Baorui Liu, Jian He, Juan Du

“…We used short-term and long-term treatment efficacy as the prediction outcomes and performed statistical and machine learning-based feature selection and COX regression analysis to identify potentially predictive features. …”
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Analysis and modeling of digital solutions in medical database management by Rakhimov Bakhtiyar, Rakhimova Feruza, Saidov Atabek, Saidova Zarina

“…This high accuracy is attributed to expanded Haar-like feature templates, efficient computation using integral images, and a comprehensive contour feature extraction process. …”
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Adaptive neuro-fuzzy inference systems for improved mastitis classification and diagnosis by Javad Shirani Shamsabadi, Saeid Ansari Mahyari, Mostafa Ghaderi-Zefrehei

“…The aim of this study was to compare the performance of three adaptive neuro-fuzzy inference systems (ANFIS) classification methodologies in classifying mastitis in Holstein dairy cattle: gradient descent (GD)-based ANFIS (GD-ANIFIS), particle swarm optimization (PSO)-based ANFIS (PSO-ANFIS) and genetic algorithm (GA)-based ANFIS (GA-ANFIS). Two feature reduction techniques were used to reduce data dimensions and improve model performance: Pearson correlation and principal component analysis. …”
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Semi-Automatic Extraction of Hedgerows from High-Resolution Satellite Imagery by Anna Lilian Gardossi, Antonio Tomao, MD Abdul Mueed Choudhury, Ernesto Marcheggiani, Maurizia Sigura

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Effect of bridging units on the detection performance of Cd{P4Mo6}2-based electrochemical sensors for trace chromium(VI) and tetracycline by Xin-Ying Ma, Hao-Xue Bi, Xiu-Juan Zhang, Jing Du, Yuan-Yuan Ma, Zhan-Gang Han

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Enhanced Classification of Phonocardiograms Using Modified Deep Learning by Awais Mahmood, Habib Dhahri, Mousa Alhajlah, Abdulaziz Almaslukh

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Genetic Analysis of 17q Terminal Partial Trisomy by Huiling Zheng, Lin Zheng, Zhi Huang, Guangping Li, Daili Tang, Xue Yang, Tian Tian

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Radiomic-enhanced multimodal ultrasound for early detection of acute kidney injury secondary to renal vein thrombosis: a preclinical diagnostic modeling study by Ziyi Xu, Xinghua Wang, Nan Qiao, Tao Zhang

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Simple energy detector for two-stage classification for antidrone systems by Zurovac Snežana, Petrović Nikola, Joksimović Vasilija, Pokrajac Ivan, Mikanović Darko, Sazdić-Jotić Boban

“…Signal detection theory, a fundamental concept in various scientific disciplines, involves mandatory measuring of the signal features. …”
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Enhancing Fault Detection and Classification in Wind Farm Power Generation Using Convolutional Neural Networks (CNN) by Leveraging LVRT Embedded in Numerical Relays by Tarek Kandil, Adam Harris, Remon Das

“…The proposed model performs well in fault detection and classification, introducing a new feature of numerical relays.…”
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Open real-time, non-invasive fish detection and size estimation utilizing binocular camera system in a Portuguese river affected by hydropeaking by Jürgen Soom, Isabel Boavida, Renan Leite, Maria João Costa, Gert Toming, Mairo Leier, Jeffrey A. Tuhtan

“…The week-long analysis also provided new insights regarding wild fish behavior in rivers affected by hydropeaking. …”
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Analysis of biofilm assembly by large area automated AFM by Ruben Millan-Solsona, Spenser R. Brown, Lance Zhang, Sita Sirisha Madugula, HuanHuan Zhao, Blythe Dumerer, Amber N. Bible, Nickolay V. Lavrik, Rama K. Vasudevan, Arpan Biswas, Jennifer L. Morrell-Falvey, Scott Retterer, Martí Checa, Liam Collins

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Classification of intracranial tumors based on optical-spectral analysis by I. D. Romanishkin, T. A. Savelieva, A. Ospanov, K. G. Linkov, S. V. Shugai, S. A. Goryajnov, G. V. Pavlova, I. N. Pronin, V. B. Loschenov

“…Our earlier statistical analysis of the optical-spectral features allowed identifying  statistically significant spectral ranges for analysis of diagnostically  important tissue components. …”
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TMAS: A transaction misbehavior analysis scheme for blockchain by Shiyong Huang, Xiaohan Hao, Yani Sun, Chenhuang Wu, Huimin Li, Wei Ren, Kim-Kwang Raymond Choo

“…Specifically, the proposed system includes ten features in the transaction graph, two heuristic money laundering models, and an analysis method for account linkage, which identifies accounts that are distinct but controlled by an identical entity. …”
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