Early Detection of Seasonal Outbreaks from Twitter Data Using Machine Learning Approaches by Samina Amin, Muhammad Irfan Uddin, Duaa H. alSaeed, Atif Khan, Muhammad Adnan

“…Providing awareness about seasonal outbreaks through SMA is an effective approach for researchers and healthcare responders to detect the early outbreaks. The proposed model aims to find the sentiment about the disease in tweets, and the seasonal outbreaks-related tweets are classified into two classes as disease positive and disease negative. …”
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FAACOSE: A Fast Adaptive Ant Colony Optimization Algorithm for Detecting SNP Epistasis by Lin Yuan, Chang-An Yuan, De-Shuang Huang

“…Our experimental results show that the proposed method outperforms other methods in epistasis detection, and the result of real dataset contributes to the research of mechanism underlying the disease.…”
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Next-generation neutron detection using a 6Li glass scintillator composite by Andrea Favalli, Brenden W. Wiggins, Metodi Iliev, Cameron G. Richards, Kristofer Ogren, Thomas D. McLean, Kiril D. Ianakiev, Markus P. Hehlen

“…This detector holds the potential to outperform traditional 3He-gas-based neutron detection systems, offering a viable alternative amidst the ongoing 3He shortage and promising advancements in neutron detection technology.…”
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Explanatory LSTM-AE-Based Anomaly Detection for Time Series Data in Marine Transportation by Zhan Wang, Mwamba Kasongo Dahouda, Hyoseong Hwang, Inwhee Joe

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A two level multi-antenna blind spectrum detection about spatial spectrum by Zhiqiang BAO, Yanrui CUI, Xiao XU

“…In order to improve the perceptual performance,the array spatial spectrum search technology was applied to the spectrum sensing field.A blind spectrum detection algorithm based on two stage detection of spatial spectral values was proposed.Firstly,the maximum and minimum values of the spatial spectrum were used as the test statistics to detect the spectrum.Then the mean value of spatial spectrum for the undetected part was used in the second level detection.By using the advantage of the spatial matching filter,the new algorithm achieved higher detection probability under the low SNR and low sampling rate,and the threshold of detection was accurately deduced based on probability theory.The simulation and comparison results show that TDSS algorithm has better detection effects than some existing classical blind spectrum sensing algorithms.…”
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Few-shot cybersecurity event detection method by data augmentation with prompting question answering by TANG Mengmeng, GUO Yuanbo, ZHANG Han, BAI Qingchun, CHEN Qingli, ZHANG Bowen

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Genetic Artificial Hummingbird Algorithm-Support Vector Machine for Timely Power Theft Detection by Emmanuel Gbafore, Davies Rene Segera, Cosmas Raymond Mutugi Kiruki

“…These findings address important metaheuristic optimization gaps highlighting the model’s potential for power theft detection.…”
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Induced spoofing detection method based on error valuation accumulation open-loop correction by Lunlong ZHONG, Jiongpo LIU, Yongyu LIU

Subjects: “…spoofing interference detection…”
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A Design Space Exploration Framework for ANN-Based Fault Detection in Hardware Systems by Andreas G. Savva, Theocharis Theocharides, Chrysostomos Nicopoulos

“…This work presents a design exploration framework for developing a high level Artificial Neural Network (ANN) for fault detection in hardware systems. ANNs can be used for fault detection purposes since they have excellent characteristics such as generalization capability, robustness, and fault tolerance. …”
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Dental Management of a Child with Incidentally Detected Hemophilia: Report of a Clinical Case by Ricardo Martínez-Rider, Arturo Garrocho-Rangel, Raúl Márquez-Preciado, María Victoria Bolaños-Carmona, Socorro Islas-Ruiz, Amaury Pozos-Guillén

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AquaYOLO: Enhancing YOLOv8 for Accurate Underwater Object Detection for Sonar Images by Yanyang Lu, Jingjing Zhang, Qinglang Chen, Chengjun Xu, Muhammad Irfan, Zhe Chen

Subjects: “…underwater object detection…”
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Molecular Detection of Virulence Factors in Salmonella serovars Isolated from Poultry and Human Samples by Kelly Johanna Lozano-Villegas, María Paula Herrera-Sánchez, Mónica Alexandra Beltrán-Martínez, Stefany Cárdenas-Moscoso, Iang Schroniltgen Rondón-Barragán

“…In summary, the presence of virulence genes in different strains of Salmonella isolated from broilers and humans could be described as bacteria with potential pathogenicity due to the type and number of virulence genes detected. These findings are beneficial for the pathogenic monitoring of Salmonella in Colombia.…”
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A Fuzzy-Decision Based Approach for Composite Event Detection in Wireless Sensor Networks by Shukui Zhang, Hao Chen, Qiaoming Zhu, Juncheng Jia

“…The event detection is one of the fundamental researches in wireless sensor networks (WSNs). …”
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Detecting respiratory diseases using machine learning-based pattern recognition on spirometry data by Ahmed I. Taloba, R.T. Matoog

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The use of drones and Artificial Intelligence for dugong sighting detection in a limited resource scenario by Ario Digdo Akbar, Astari Elisabeth, Riskyta Arinda Bella, Cahyono Topan

“…This study aims to recount our experience conducting a combination of drone and AI-assisted detection (WISDAM) in a scenario with limited resources to detect dugongs. …”
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Islanding Detection for Microgrid Based on Frequency Tracking Using Extended Kalman Filter Algorithm by Bin Li, Jingpeng Wang, Hailong Bao, Huiying Zhang

“…Islanding detection is essential for secure and reliable operation of microgrids. …”
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Research of On-line Detection System of End-face Run-out of Synchronizer Gear Set by Shen Kai, Liu Feifei, Meng Dejiao

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The Role of Rotational Thromboelastometry in Early Detection of the Hemostatic Derangements in Neonates with Systemic Candida Infection by Rozeta Sokou, Alexia Eleftheria Palioura, Aikaterini Konstantinidi, Alexandra Lianou, Maria Lampridou, Martha Theodoraki, Daniele Piovani, Stefanos Bonovas, Konstantina A. Tsante, Petros Ioannou, Nicoletta Iacovidou, Andreas G. Tsantes

“…The results of this study highlight the need for monitoring of hemostatic status of this vulnerable group of patients and indicate that ROTEM analysis may have a role in the early detection of the hemostatic derangements associated with SCI in neonates, in order to ensure timely diagnosis and targeted therapeutic intervention.…”
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Salt and Pepper Noise Removal with Noise Detection and a Patch-Based Sparse Representation by Di Guo, Xiaobo Qu, Xiaofeng Du, Keshou Wu, Xuhui Chen

“…A denoising method by detecting noise candidates and enforcing image sparsity with a patch-based sparse representation is proposed. …”
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Early disease detection expert system development: primary machining software applications and dependences by A. S. Serobabov, E. V. Chebanenko, L. A. Denisova, T. S. Krolevets

“…The interconnections map of the patienthood diagnostics was retrieved, which enables to detect the dependences between the liver disease markers for the early disease detection expert system development.…”
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