UnidecNMR: automatic peak detection for NMR spectra in 1-4 dimensions by Charles Buchanan, Gogulan Karunanithy, Olga Tkachenko, Michael Barber, Michael T. Marty, Timothy J. Nott, Christina Redfield, Andrew J. Baldwin

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Electricity theft detection in integrated energy systems considering multi-energy loads by Wenlong Liao, Dechang Yang, Leijiao Ge, Yixiong Jia, Zhe Yang

“…Furthermore, a Chebyshev graph convolutional network (ChebGCN) is proposed to detect malicious users by capturing latent features and correlations from the graphs. …”
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Artificial intelligence and 3D subsurface interpretation for bright spot and channel detections by Yasir Bashir, Muhammad Afiq Aiman Bin Zahari, Abdullah Karaman, Doğa Doğan, Zeynep Döner, Ali Mohammadi, Syed Haroon Ali

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BrYOLO-Mamba: A Approach to Efficient Tracheal Lesion Detection in Bronchoscopy by Yuejiao Cao, Jianzhong Zhang, Ruibing Zhuo, Jin Zhao, Yanting Dong, Tanzhen Liu, Hui Zhao

“…Although artificial intelligence has made significant progress in enhancing the accuracy and efficiency of medical image diagnosis, current systems still struggle to effectively capture long-range dependencies and fine-grained features in complex medical images. Specifically, CNN and Transformer models face limitations in modeling long-range interactions and managing computational complexity, which reduces their effectiveness in bronchoscopic image analysis.To address these issues, this study proposes the BrYOLO-Mamba model. …”
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Multimodal Detection of Agitation in People With Dementia in Clinical Settings: Observational Pilot Study by Abeer Badawi, Somayya Elmoghazy, Samira Choudhury, Sara Elgazzar, Khalid Elgazzar, Amer M Burhan

“…The system combines digital biomarkers collected from the EmbracePlus (Empatica Inc) wristband with video-based behavioral monitoring. Facial features in video frames were anonymized using a masking tool, and a deep learning model was used for AA detection. …”
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The Main Arboviruses and Virus Detection Methods in Vectors: Current Approaches and Future Perspectives by Amanda Montezano Cintra, Nathália Mayumi Noda-Nicolau, Milena Leite de Oliveira Soman, Pedro Henrique de Andrade Affonso, Guilherme Targino Valente, Rejane Maria Tommasini Grotto

“…In addition, this work provides a comparative analysis of diverse laboratory methodologies for viral detection in vectors. …”
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Mi-DETR: For Mitosis Detection From Breast Histopathology Images an Improved DETR by Fatma Betul Kara Ardac, Pakize Erdogmus

“…In histopathological image analysis, the detection and count of mitotic cells are important biomarkers for determining the degree and aggressiveness of cancer prognosis. …”
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Diagnosing epileptic seizures using combined features from independent components and prediction probability from EEG data by Madiha Khalid, Ali Raza, Adnan Akhtar, Furqan Rustam, Julien Brito Ballester, Carmen Lili Rodriguez, Isabel de la Torre Díez, Imran Ashraf

“…The FIR model extracts independent components and class prediction probability features, creating a new feature set. The proposed model combined integrated component analysis (ICA) with predicting probability to enhance seizure recognition accuracy scores. …”
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Novel Wavelet Convolutional Neural Networks for Signal Detection in OFDM-IM Systems by Yang Zhao, SI-YU Zhang, Yuexia Zhang, Gongpu Wang, Behnam Shahrrava

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Particle swarm optimization with YOLOv8 for improved detection performance of tomato plants by Sarah M. Ayyad, Nada M. Sallam, Samah A. Gamel, Zainab H. Ali

“…Thirdly, the proposed framework was compared with many cutting-edge object detection architectures for tomato harvesting, e.g., Convolutional neural network (CNN), Mask R-CNN and color analysis, and other models based on handcrafted features. …”
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Machine Learning Model for Early Detection of COVID-19 by Heart Rhythm Abnormalities by M. S. Mezhov, V. O. Kozitsin, Iu. D. Katser

“…Electronic devices capable of collecting individual telemetry data have opened up prospects for preclinical detection of COVID-19 signs. Known solutions involve the analysis of information that is difficult to obtain at the moment. …”
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Harnessing Aggregation‐Induced Emission‐Based Detection Toolbox for Diagnostics of Urogenital Tumors by Wenzhe Chen, Hantian Guan, Yongfeng Lu, Guohua Zeng, Di Gu, Keying Guo, Cheng Jiang, Hongxing Liu

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Multistage pig identification using a sequential ear tag detection pipeline by Martin Wutke, Damiano Debiasi, Shobhana Tomar, Jeanette Probst, Nicole Kemper, Kai Gevers, Marc-Alexander Lieboldt, Imke Traulsen

“…Consequently, synthetic features such as ear tags have become widely adopted. …”
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Research on herd sheep facial recognition based on multi-dimensional feature information fusion technology in complex environment by Fu Zhang, Fu Zhang, Xiaopeng Zhao, Shunqing Wang, Yubo Qiu, Sanling Fu, Yakun Zhang

“…For multi-part detection network, The YOLOv5s path aggregation network was modified by incorporating a multi-link convolution fusion block (MCFB) to enhance fine-grained feature extraction across objects of different sizes. …”
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Application of a UAV-borne GPR system in the detection of water bodies and cavities by Ying WANG, Chenchen SUN, Lu ZHANG, Yifei CHEN, Song LU, Feng ZHOU

“…This led to improved identifiability of waveform features, as well as enhanced accuracy and intuitiveness of data interpretation and analysis. …”
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A Microsphere-Based Sensor for Point-of-Care and Non-Invasive Acetone Detection by Oscar Osorio Perez, Ngan Anh Nguyen, Landon Denham, Asher Hendricks, Rodrigo E. Dominguez, Eun Ju Jeong, Marcio S. Carvalho, Mateus Lima, Jarrett Eshima, Nanxi Yu, Barbara Smith, Shaopeng Wang, Doina Kulick, Erica Forzani

“…In this study, we introduce a novel colorimetric sensor designed for potential continuous acetone detection in biological fluids. The sensor features a polydimethylsiloxane (PDMS) shell that encapsulates a sensitive and specific liquid-core acetone-sensing probe. …”
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Detection Method of Apple Alternaria Leaf Spot Based on Deep-Semi-NMF by FU Zhuojun, HU Zheng, DENG Yangjun, LONG Chenfeng, ZHU Xinghui

“…A comparative analysis was conducted with several other detection methods, including GRX (Reed-Xiaoli detector), LRX (Local Reed-Xiaoli detector), CRD (Collaborative-Representation-Based Detector), LSMAD (LRaSMD-Based Mahalanobis Distance Detector), and the deep learning model Unet. …”
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ODC: a method for online detecting ＆ classifying network-wide traffic anomalies by QIAN Ye-kui1, CHEN Ming1, HAO Qiang2, LIU Feng-rong2, SHANG Wen-zhong2

“…A method for online detecting ＆ classifying traffic anomalies（ODC for short） from a network-wide angle of view was put forward.This method constructed traffic matrix with a metric of traffic feature entropy incrementally,de-tected traffic anomalies online using incremental principal component analysis,and then classified traffic anomalies online using incremental k-means,from which network operators could benefit for taking corresponding countermeasures.Theoretical analysis and experiment analysis show that the method has lower storage and less computing time complexity,which could satisfy the requirements of real-time process.Analysis based on both measurement data from Abilene and simulation experiments demonstrate that the method has very good detection and classification performance.…”
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Early detection of Citrus Huanglongbing by UAV remote sensing based on MGA-UNet by Naibo Ye, Wenyong Mai, Feng Qin, Sen Yuan, Bo Liu, Zaiyuan Li, Conghui Liu, Fanghao Wan, Wanqiang Qian, Zhongzhen Wu, Xi Qiao

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Heart Sound Classification Using Harmonic and Percussive Spectral Features from Phonocardiograms with a Deep ANN Approach by Anupinder Singh, Vinay Arora, Mandeep Singh

“…Non-invasive methods like Phonocardiogram (PCG) analysis capture the acoustic activity of the heart. …”
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