Discovering temporal, spatial, and contextual anomalous social activities from streaming social media datasets by Mete Celik, Ahmet Sakir Dokuz, Alper Ecemis, Emre Erdogmus

“…However, detecting anomalies in streaming social media datasets has many difficulties due to the size, continuous increase, different characteristics (e.g., temporal, spatial, and contextual) of the data, and shortcomings of existing algorithms to handle streaming social media datasets. …”
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Research on intelligent technology for broken chain monitoring on scraper conveyors by LI Lingfeng, ZHANG Jie, CHEN Zhuo, ZHA Tianren, YIN Rui

“…To address the issues of existing AI algorithm-based broken chain monitoring technologies for underground coal mine scraper conveyors, including poor online learning ability, low detection accuracy, instability, and inadequate adaptability and reliability in complex scenarios, an online sequential extreme learning machine (OSELM) network was developed by integrating incremental online training into the extreme learning machine (ELM). …”
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Identification of Plasma Proteins Associated with Alzheimer's Disease Using Feature Selection Techniques and Machine Learning Algorithms by Zakaria Mokadem, Mohamed Djerioui, Bilal Attallah, Youcef Brik

“…This study aims to use computational algorithms to explore the relationship between plasma proteins and AD progression by identifying a panel of plasma proteins that can serve as biomarkers for tracking and diagnosing AD. …”
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Enhancing wheat yellow rust detection through modified deep learning approach by Shant Kumar, Rohit Singh, Sudheer Kumar, Sandeep Gupta

“…Various traditional ML algorithms including Support Vector Machine (SVM), Decision Tree (DT), k-Nearest Neighbor KNN, Naïve Bayes (NB), Random Forest (RF) and Sequential Convolutional Neural Network (CNN) are utilized to access the plant disease detection efficiency. …”
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Microwave Tomography System for Methodical Testing of Human Brain Stroke Detection Approaches by Ilja Merunka, Andrea Massa, David Vrba, Ondrej Fiser, Marco Salucci, Jan Vrba

“…In order to verify the functionality of the measuring system, S-parameters were measured for a hemorrhagic phantom sequentially placed on 23 different positions and distributions of dielectric parameters were reconstructed using the Gauss-Newton iterative reconstruction algorithm. …”
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Multi-Head Attention Based Bidirectional LSTM for Spelling Error Detection in the Indonesian Language by Yanfi Yanfi, Haryono Soeparno, Reina Setiawan, Widodo Budiharto

“…This study aims to address this gap by presenting a novel algorithm to improve spelling mistake detection within the Indonesian language context. …”
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Deep Learning-Enabled Dynamic Model for Nutrient Status Detection of Aquaponically Grown Plants by Mohamed Farag Taha, Hanping Mao, Samar Mousa, Lei Zhou, Yafei Wang, Gamal Elmasry, Salim Al-Rejaie, Abdallah Elshawadfy Elwakeel, Yazhou Wei, Zhengjun Qiu

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Research on a Bone Stick Fragment Stitching Method Based on Improved Corner Detection by Jiahuan Liu, Huiqin Wang, Rui Liu, Ke Wang, Zhan Wang, Ting Wang

“…Then, the broken edge features are enhanced by combining multi-scale and multi-stage corner detection, as well as a double screening mechanism of local template and corner density analysis. …”
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Integrating Radar-Based Obstacle Detection with Deep Reinforcement Learning for Robust Autonomous Navigation by Nabih Pico, Estrella Montero, Maykoll Vanegas, Jose Miguel Erazo Ayon, Eugene Auh, Jiyou Shin, Myeongyun Doh, Sang-Hyeon Park, Hyungpil Moon

“…This study presents an approach to autonomous navigation for wheeled robots, combining radar-based dynamic obstacle detection with a BiGRU-based deep reinforcement learning (DRL) framework. …”
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Evaluation of Four Rapid Tests for Detection of Hepatitis B Surface Antigen in Ivory Coast by Bamory Dembele, Roseline Affi-Aboli, Mathieu Kabran, Daouda Sevede, Vanessa Goha, Aimé Cézaire Adiko, Rodrigue Kouamé, Emile Allah-Kouadio, Andre Inwoley

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Research on collision detection of robot outer surface based on six-dimensional force sensor by WANG Zhijun, WANG Yunyi, LI Zhanxian

“…To address the limitations of existing collision detection algorithms, an algorithm was proposed to detect the collision point on a robot body by deriving its position coordinates based on the detection results of a six-dimensional force sensor installed on the base of the articulated robot and combined with the equation of the robot's outer surface.MethodsFirstly, a collision detection model for articulated robots was established. …”
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Improved Dab-Deformable Model for Runway Foreign Object Debris Detection in Airport Optical Images by Yang Cao, Yuming Wang, Yilin Zhu, Rui Yang

“…To address the challenges of small targets and complex backgrounds in the dataset, this paper proposes optimizations and improvements based on the advanced detection network Dab-Deformable. First, this paper introduces a Lightweight Deep-Shallow Feature Fusion algorithm (LDSFF), which integrates a hotspot sensing network and a spatial mapping enhancer aimed at focusing the model on significant regions. …”
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Low-complexity detection for MIMO visible light communication system using generalized spatial modulation by Wei-Chiang Wu, Gan-Lin Chen

“…Existing maximum likelihood (ML) detection algorithm is computationally prohibitive; hence, we develop a two-stage (identification followed by detection) receiver that decodes the spatial and temporal symbols in a sequential manner. …”
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Time-Distributed Vision Transformer Stacked With Transformer for Heart Failure Detection Based on Echocardiography Video by Mgs M. Luthfi Ramadhan, Adyatma W. A. Nugraha Yudha, Muhammad Febrian Rachmadi, Kevin Moses Hanky Jr Tandayu, Lies Dina Liastuti, Wisnu Jatmiko

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A New Quotient and Iterative Detection Method in an Affine Krylov Subspace for Solving Eigenvalue Problems by Chein-Shan Liu, Jiang-Ren Chang, Jian-Hung Shen, Yung-Wei Chen

“…For both symmetric and nonsymmetric eigenvalue problems solved by the third algorithm, we develop a simple iterative detection method to maximize the Euclidean norm of the eigenvector in terms of the eigen-parameter, of which the peaks of the response curve correspond to the eigenvalues. …”
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Vision-based approach to knee osteoarthritis and Parkinson’s disease detection utilizing human gait patterns by Zeeshan Ali, Jihoon Moon, Saira Gillani, Sitara Afzal, Muazzam Maqsood, Seungmin Rho

“…Furthermore, many vision-based algorithms rely on human gait silhouettes or gait representations and employ traditional similarity-based methodologies. …”
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A Multi-Input Neural Network Model for Accurate MicroRNA Target Site Detection by Mohammad Mohebbi, Amirhossein Manzourolajdad, Ethan Bennett, Phillip Williams

“…These images are processed in parallel by the MINN algorithm, allowing it to learn a comprehensive and precise representation of the underlying biological mechanisms. (3) Results: Our method, on an experimentally validated test set, detects target sites with an AUPRC of 0.9373, Precision of 0.8725, and Recall of 0.8703 and outperforms several commonly used computational methods of microRNA target-site predictions. (4) Conclusions: Incorporating diverse biologically explainable features, such as duplex structure, substructures, their MFEs, and binding probabilities, enables our model to perform well on experimentally validated test data. …”
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Audio copy-move forgery detection with decreasing convolutional kernel neural network and spectrogram fusion by Canghong Shi, Xin Qiu, Min Wu, Xianhua Niu, Xiaojie Li, Sani M. Abdullahi

“…In addition, our method shows better performance in the detection of forged audio with multiple attacks. Compared to the state-of-the-art algorithms, the proposed algorithm has advantages in terms of accuracy, precision, and F1 score.…”
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Curvature-Based Change Detection in Road Segmentation: Ascending Hierarchical Clustering vs. K-Means by David Jaurès Fotsa-Mbogne, Addie Bernice Nguensie-Wakponou, Jean Michel Nlong, Marcellin Atemkeng, Maurice Tchuente

“…Given the high frequency of data collection by accelerometers, the resulting large datasets pose a computational challenge for anomaly detection using supervised classification algorithms. …”
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A Search for Exoplanet Candidates in TESS 2 minute Light Curves Using Joint Bayesian Detection by Jamila S. Taaki, Athol J. Kemball, Farzad Kamalabadi

“…The statistical performance of the detector was evaluated using transit injection tests, where the joint Bayesian detector achieves an 80.0% detection rate and a 19.1% quasi-false-alarm rate at a detection threshold τ  = 10; this is a marginal, although not statistically significant, improvement of 0.2% over a reference sequential detrending and detection algorithm. …”
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