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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Rolling window for detecting multiple Chan signatures to diagnose excessive water production by Ahmed MohamedSalih Musa Hamdoon, A. P. Mohammed Abdalla Ayoub Mohammed, A. P. Khaled Abdalla Elraies

“…Eight algorithms were evaluated, with Support Vector Machines (SVM) and Random Forest (RF) achieving a remarkable 94% F1 score while the remaining algorithms averaged 93%.…”
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Advances in Deep Learning Applications for Plant Disease and Pest Detection: A Review by Shaohua Wang, Dachuan Xu, Haojian Liang, Yongqing Bai, Xiao Li, Junyuan Zhou, Cheng Su, Wenyu Wei

“…By leveraging its advantages in image processing, deep learning technology has significantly enhanced the accuracy of plant disease and pest detection and identification. This review provides a comprehensive overview of recent advancements in applying deep learning algorithms to plant disease and pest detection. …”
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PV Module Soiling Detection Using Visible Spectrum Imaging and Machine Learning by Boris I. Evstatiev, Dimitar T. Trifonov, Katerina G. Gabrovska-Evstatieva, Nikolay P. Valov, Nicola P. Mihailov

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Leveraging advanced technologies for early detection and diagnosis of oral cancer: Warning alarm by Saantosh Saravanan, N. Aravindha Babu, Lakshmi T, Mukesh Kumar Dharmalingam Jothinathan

“…The medical technology, particularly in the areas of deep learning, optimization algorithms, and imaging techniques, has begun a new paradigm in oral cancer diagnosing and detecting methodologies. …”
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A Rapid Concrete Crack Detection Method Based on Improved YOLOv8 by Yongzhen Wang, Jiacong He

“…This study not only improves the accuracy and speed of crack detection but also significantly reduces the computational complexity of the model, advancing the development of lightweight and practical crack detection algorithms. …”
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Utilizing artificial intelligence for the detection of hemarthrosis in hemophilia using point-of-care ultrasonography by Pascal N. Tyrrell, María Teresa Alvarez-Román, Nihal Bakeer, Brigitte Brand-Staufer, Victor Jiménez-Yuste, Susan Kras, Carlo Martinoli, Mauro Mendez, Azusa Nagao, Margareth Ozelo, Janaina B.S. Ricciardi, Marek Zak, Johannes Roth

“…Objectives: Our system aims to utilize artificial intelligence and ultrasonography (US; point-of-care and handheld) to enable providers, and ultimately patients, to detect joint bleeds at the bedside and at home. We aimed to develop and assess the reliability of artificial intelligence algorithms in detecting and segmenting synovial recess distension (SRD; an indicator of disease activity) on US images of adult and pediatric knee, elbow, and ankle joints. …”
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Vibrational Resonance with Self-adaptive Frequency-Shifted and Scaling for Fault Detection of Bearings by MAO Cheng;SHEN Chunhe;CUI Yue;LI Linfeng;CHEN Manhua;CHEN Hui;XIE Zhanshan

“…Moreover, the frequency-shifted and scaling is used to transform the bearing fault characteristic frequencies into small parameter detection condition of vibrational resonance. Finally, the system parameters of vibrational resonance are optimized by artificial intelligent algorithms to adaptively detect the early defects of rolling element bearings. …”
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A comparison of several intrusion detection methods using the NSL-KDD dataset by hazem salim abdullah

“…This research investigates the way to classify and predict cyber-attacks on the NSL-KDD dataset using intrusion detection methods the investigation contrasts the capabilities of various algorithms, including RNN, MLP, CNN-LSTM, and ANN, in recognizing attacks. …”
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Fisher Information of Mine Collapse Hole Detection Based on Sensor Nodes Connectivity by Shengbo Hu, Heng Shu, Xiaowei Song

“…By establishing a 2D model of the collapse hole in coal mine, a class of algorithms for detecting the collapse hole in coal mine is described. …”
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Blind detection of orthogonal space-time block coding based on ICA schemes by GU Bo1, LIU Ju1, XU Hong-ji1

“…And meanwhile some detecting algorithms based on channel estimation were used for performance evaluation. …”
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Real Time Face-mask Detection with Arduino to Prevent COVID-19 Spreading by Saman M. Almufti, Ridwan B. Marqas, Zakiya A. Nayef, Tamara S. Mohamed

“…Many face detection models have been designed using different algorithms and techniques. …”
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UNVEILING FAKE NEWS DETECTION MODELS AND THEIR INTEGRATION INTO WEB SYSTEMS: AN EXTENSIVE INVESTIGATION by Vimal Gaur, Naman Veerwal, Ujjwal Chaudhary, Sparsh Kadian

“…Powered by Multinomial Naive Bayes and Passive Aggressive Classifier algorithms, Fake News Detection System ensures accurate classification. …”
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Quantum Edge Detection and Convolution Using Paired Transform-Based Image Representation by Artyom Grigoryan, Alexis Gomez, Sos Agaian, Karen Panetta

“…Classical edge detection algorithms often struggle to process large, high-resolution image datasets efficiently. …”
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Essay Answer Detection System Uses Cosine Similarity and Similarity Scoring in Sentences by Siti Yuliyanti, Diah Hidayatul Ula

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An efficient detection of Sinkhole attacks using machine learning: Impact on energy and security. by Muhammad Zulkifl Hasan, Zurina Mohd Hanapi, Zuriati Ahmad Zukarnain, Fahrul Hakim Huyop, Muhammad Daniel Hafiz Abdullah

“…SFlexCrypt stands out by seamlessly integrating advanced machine learning algorithms to achieve high-precision detection and effective mitigation of sinkhole attacks. …”
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Real-Time Human Ear Detection Based on the Joint of Yolo and RetinaFace by Huy Nguyen Quoc, Vinh Truong Hoang

“…As a complete identification system requires an effective detector for real-time application, and the current richness and variety of ear detection algorithms are poor due to the small and complex shape of human ears. …”
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Conception of a Malicious Node Detection System for Tactical Wireless Sensor Networks by Wiesław JABŁOŃSKI (wieslaw.jablonski@interia.pl), Ksawery KRENC (ksawery.krenc@wat.edu.pl)

“…Detection data will be collected passively, and analysis will be conducted using dedicated algorithms based on Dempster-Shafer evidence theory to evaluate and interpret the data. …”
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Robust Miner Detection in Challenging Underground Environments: An Improved YOLOv11 Approach by Yadong Li, Hui Yan, Dan Li, Hongdong Wang

“…Experimental results demonstrate that the proposed method outperforms various improved algorithms and state-of-the-art detection models in both detection performance and robustness, providing important technical support and reference for coal miner safety assurance and intelligent mine management.…”
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Enhancing needle puncture detection using high-pass filtering and diffuse reflectance by Rachael L’Orsa, Rachael L’Orsa, Rachael L’Orsa, Rachael L’Orsa, Anupam Bisht, Linhui Yu, Kartikeya Murari, Kartikeya Murari, Kartikeya Murari, Garnette R. Sutherland, Garnette R. Sutherland, David T. Westwick, Katherine J. Kuchenbecker

“…Four data-driven puncture-detection (DDPD) algorithms from the literature, which are appropriate for use with the variable tool velocities produced by manual insertions, were applied to the resulting data set offline. …”
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