Tissue-Based MRI Intensity Standardization: Application to Multicentric Datasets by Nicolas Robitaille, Abderazzak Mouiha, Burt Crépeault, Fernando Valdivia, Simon Duchesne, The Alzheimer's Disease Neuroimaging Initiative

“…Existing simple and robust techniques aim at matching the input image histogram onto a standard, while we think that standardization should aim at matching spatially corresponding tissue intensities. In this study, we present a novel automatic technique, called STI for STandardization of Intensities, which not only shares the simplicity and robustness of histogram-matching techniques, but also incorporates tissue spatial intensity information. …”
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Robust Imaging Photoplethysmography in Long-Distance Motion by LingQin Kong, YuHeng Wu, YueJin Zhao, LiQuan Dong, Mei Hui, Ming Liu, XiaoHua Liu

“…In this report, the presented theoretical and experimental results indicate that defocused image blurring dose not significantly affect the IPPG's intensity. …”
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Highly Sensitive Two-Axis Bending Sensor Based on Arc-Induced Long Period Fiber Grating in Dual Side-Hole Fiber by Yang Ouyang, Huiyong Guo, Xiaowei Ouyang, Xiaofeng Xu, Ciming Zhou, Ai Zhou

“…A highly sensitive two-axis bending sensor based on long period fiber grating (LPFG) in a dual side-hole fiber (DSHF) is presented and experimentally investigated. The LPFG is fabricated by periodically collapsing a piece of DSHF with automatic arc discharge technology. …”
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FOCUS-HTS: a new stellarator coil design code for three-dimensional high-temperature superconducting magnets by Xianyi Nie, Jianlin Peng, Yidong Xie, Guodong Yu, Ke Liu, Caoxiang Zhu

“…Developed in Python with automatic differentiation, the code allows easy interfacing and GPU acceleration. …”
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A mm-Wave 2D Ultra-Wideband Imaging Radar for Breast Cancer Detection by Stefano Moscato, Giulia Matrone, Marco Pasian, Andrea Mazzanti, Maurizio Bozzi, Luca Perregrini, Francesco Svelto, Giovanni Magenes, Paolo Arcioni, Paul Summers

“…This paper presents the preliminary design of a mm-wave ultra-wideband (UWB) radar for breast cancer detection. …”
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Rapid Colorectal Tissue Classification Using Data-Driven Raman Techniques by Jakub Tomes, Daniela Janstova, Shayestegan Mohsen, Alla Sinica, Zuzana Kovacova, Jaromir Petrtyl, Jan Mares

“…Raman spectra were acquired using a handheld portable spectrometer with an automatic BubbleFill preprocessing algorithm, covering at spectral range of 500 to 1800 cm-1. …”
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SAU-Net: A Deep Learning Approach for Glacier Mapping Based on Multisource Remote Sensing Data by Yang Xiang, Longfei Zhao, Jingxiang Li, Fanfan Gao, Siyuan Bian, Man Hou, Xin Luo, Chen Guo

“…Glaciers are vital indicators of climate change, particularly in the Tibetan Plateau, which is experiencing unprecedented glacial retreat due to rising temperatures. This study presents a novel deep learning model, SAU-Net, for automatic glacier segmentation using multisource remote sensing data. …”
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Spontaneous Raman spectroscopy for intracranial tumors diagnostics ex vivo by I. D. Romanishkin, L. R. Bikmukhametova, T. A. Savelieva, S. A. Goryaynov, A. V. Kosyrkova, V. A. Okhlopkov, D. A. Golbin, I. Yu. Poletaeva, A. A. Potapov, V. B. Loschenov

“…It is shown that this approach can serve as the basis for constructing a system for automatic intraoperative tissue classification based on the analysis of Raman spectra.…”
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Deep Learning Based Cross Domain Sentiment Classification for Urdu Language by Amna Altaf, Muhammad Waqas Anwar, Muhammad Hasan Jamal, Sana Hassan, Usama Ijaz Bajwa, Gyu Sang Choi, Imran Ashraf

“…Sentiment analysis is a widely researched area due to its various applications in customer services, brand monitoring, and market research. Automatic sentiment classification is an important but challenging task. …”
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Intelligent optimization method of fracturing parameters for shale oil reservoirs in Jimsar Sag, Junggar Basin, NW China by Yunjin WANG, Fujian ZHOU, Hang SU, Leyi ZHENG, Minghui LI, Fuwei YU, Yuan LI, Tianbo LIANG

“…A self-governing database capable of automatic capture, storage, calls and analysis is established. …”
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Unexpected pheochromocytoma leading to cardiac arrest during the perioperative period: a case report and literature review by Jian Guo, Yuting Qiu, Xiaojin Zhang, Yitao Qian, Jianhong Xu

“…Extreme hypertension and tachycardia during the perioperative period may indicate a PCC. We should not automatically use beta-adrenergic receptor blockade while overlooking the importance of alpha-adrenergic receptor blockade. …”
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A HYBRID APPROACH FOR MALARIA CLASSIFICATION USING CNN-BASED FEATURE EXTRACTION AND TRADITIONAL MACHINE LEARNING CLASSIFIERS by omar Mohammed Alzakholi, Walat A. Ahmed, Bafreen N. Mohammed, Asaad Kh. Ibrahim

“…Traditional diagnostic methods, such as the microscopic examination of blood smears, are time-consuming and require expert personnel. The study presents a mix of machine learning methods for automatic diagnosis of malaria by using the feature extraction capability of Convolutional Neural Networks (CNNs) along with the efficient classification performance of traditional machine learning classifiers. …”
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Three Years of VoiceMOS Challenges: Lessons Learned by the UWB-NTIS-TTS Team by Marie Kunesova, Jindrich Matousek, Jan Lehecka, Jan Svec, Daniel Tihelka, Zdenek Hanzlicek

“…Automatic prediction of mean-opinion scores (MOS) promises a faster, cheaper alternative to listening tests, yet robust generalization across speakers, languages, and domains remains a significant challenge. …”
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BrainAR: Automated Brain Tumor Diagnosis With Deep Learning and 3D Augmented Reality Visualization by Meriem Khedir, Kahina Amara, Nassima Dif, Oussama Kerdjidj, Shadi Atalla, Naeem Ramzan

“…However, current AR implementations often lack patient-specific detail, limiting their effectiveness in clinical settings. In this paper, we present BrainAR, an innovative mobile AR-based application designed for the automatic segmentation, 3D visualization, localization, and interaction with brain tumors using multiparametric 3D Magnetic Resonance Imaging (MRI) data. …”
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MCT-CNN-LSTM: A Driver Behavior Wireless Perception Method Based on an Improved Multi-Scale Domain-Adversarial Neural Network by Kaiyu Chen, Yue Diao, Yucheng Wang, Xiafeng Zhang, Yannian Zhou, Minming Gu, Bo Zhang, Bin Hu, Meng Li, Wei Li, Shaoxi Wang

“…Recently, deep learning has gained significant attention in radar signal processing due to its ability to eliminate the need for intricate signal preprocessing and its automatic feature extraction capabilities. In this article, we present a network that incorporates multi-scale and channel-time attention modules, referred to as MCT-CNN-LSTM. …”
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Hybrid Vision System for Enhanced Situational Awareness in Unmanned Surface Vehicles: Decision-Level Camera-LiDAR Fusion With Supervised and Unsupervised Approaches by Yousef Abd Alhattab, Hasan F. M. Zaki, Abd Halim Bin Embong, Zulkifli Bin Zainal Abidin, Ahmed Rimaz Faizabadi, Ahmad Imran Ibrahim

“…This paper presents a system aimed at ESA using an unsupervised approach and a trained deep learning model to detect multiple maritime obstacles in denied GPS zones. …”
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The Evolution of Temporal and Spatial Patterns of Carbon Monoxide Concentrations in the Metropolitan Area of Sao Paulo, Brazil by Flavia Noronha Dutra Ribeiro, Delhi Teresa Paiva Salinas, Jacyra Soares, Amauri Pereira de Oliveira, Regina Maura de Miranda, Luana Antunes Tolentino Souza

“…The Environmental Agency of Sao Paulo has a large dataset of carbon monoxide measurements: 20 years of records in 18 automatic stations inside the metropolitan area. However, a thorough investigation on the time evolution of CO concentration tendency and cycles also considering spatial variability is lacking. …”
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Low-overhead defect-adaptive surface code with bandage-like super-stabilizers by Zuolin Wei, Tan He, Yangsen Ye, Dachao Wu, Yiming Zhang, Youwei Zhao, Weiping Lin, He-Liang Huang, Xiaobo Zhu, Jian-Wei Pan

“…In this context, we introduce an automatic adapter to implement the surface code on defective lattices. …”
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Design and control algorithm of a motion sensing-based fruit harvesting robot by Ziwen CHEN, Yuhang CHEN, Hui LI, Pei WANG

“…In response to the demand of automatic fruit identification and harvesting, this paper presents a human-robot collaborative picking robot based on somatosensory interactive servo control. …”
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Research on Voltage Self-Calibration Sensing Technology Based on Measurement Circuit Topology Changes by Shangpeng Sun, Zhenhui Qiu, Shijun Song, Jianjian He, Feiyue Ma, Qing Yang

“…In capacitance-coupled voltage-sensing technology, the degree of coupling capacitance is affected by the sensing area, relative position deviation, and other factors, and thus the measurement coefficient is often difficult to determine accurately and presents greater implementation difficulties in actual deployment. …”
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