Exploring CycleGAN Technique for Improved Plant Disease Detection and Analysis by Ouyang Luyi

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Automatic gait EVENT detection in older adults during perturbed walking by Shuaijie Wang, Kazi Shahrukh Omar, Fabio Miranda, Tanvi Bhatt

“…Subsequently, previous studies have not addressed gait event automatic detection methods for perturbed walking. This study introduces an automated gait event detection method using a bidirectional gated recurrent unit (Bi-GRU) model, leveraging ground reaction force, joint angles, and marker data, for both regular and perturbed walking scenarios from 307 healthy older adults. …”
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Heat transfer model for non-invasive leakage detection in heating pipes by Mengfei Zhao, Huiqing Cao, Yue Liu, Shaoqi Wang, Wei Song

“…The results show that after 1 h of leakage, the calculated temperature was 0.207 ℃ lower than the actual temperature, confirming that the model can detect leakage within 1 h. This paper presents a novel approach for non-invasive leak detection in heating pipe networks, providing valuable data for future applications of the model.…”
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Comparing circular and flexibly-shaped scan statistics for disease clustering detection by Lina Wang, Xiang Li, Zhengbin Zhang, Haoxun Yuan, Pengfei Lu, Yaru Li

“…This study aims to analyze the impact of parameter settings on the results of these methods and compare their performance in disease clustering detection. …”
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A Technique for Retinal Detachment Detection Manipulating YOLOv8 Models by Younis Bashar Younis, Fadwa Al Azzo

“…This demonstrates that the proposed system works effectively in detecting retinal detachment, resulting in highly accurate results mined from complex medical data sets and imaging, thereby making it an important tool in medicine. …”
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Enhancing TextGCN for depression detection on social media with emotion representation by Huimin Mao, Qing Han

“…In the forthcoming stages, we intend to refine our model by incorporating more balanced and targeted data sets, with the goal of exploring its potential applications in mental health.…”
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Improving Osteosarcoma Detection through SMOTE-Driven Machine Learning Approaches by Muhammad Ainul Fikri, Ajie Kusuma Wardhana, Yudha Riwanto, Inggrid Yanuar Risca Partiwi, Fauzia Sekar Anis Sekar Ningrum, Iqbal Kurniawan Asmar Putra

“…This study proposes a lightweight AI approach that optimizes osteosarcoma detection while maintaining high diagnostic accuracy, leveraging machine learning models under 5MB, manually or semi-automatically extracted features, and SMOTE for data balancing. …”
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Detection and diagnosis of air compressor faults using weightless neural networks by Anubhab Bhattacharyya, Naveen Venkatesh Sridharan, Aravinth Sivakumar, Sugumaran Vaithiyanathan

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Intrusion detection in software defined network using deep learning approaches by M. Sami Ataa, Eman E. Sanad, Reda A. El-khoribi

“…Which, becomes a multi-billion dollar industry, and it’s deployed in many data centers nowadays. The new technology provides network programmability, network centralized control, and a global view of the network. …”
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GLAAM and GLAAI: Pioneering attention models for robust automated cataract detection by Deepak Kumar, Chaman Verma, Zoltán Illés

“…These models have the potential to enhance diagnostic tools and improve patient care by offering a cost-effective and accurate solution for cataract detection, suitable for integration into clinical settings.…”
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Iterative PolInSAR Target Decomposition for Scattering Characterization and Building Detection by Di Zhuang, Lamei Zhang, Bin Zou

“…This process will ultimately enhance features and improve building detection accuracy. Experiments on three sets of PolInSAR data confirm the validity of the proposed framework, with more reasonable target decomposition results and more accurate building detection results, especially in densely rotated built-up areas.…”
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Partnering with Young Parents to Improve Early Hearing Detection and Intervention Programmes by Genevieve Choi, Holly Teagle, Suzanne C. Purdy, Andrew Wood

“…<b>Background:</b> Early Hearing Detection and Intervention (EHDI) programmes must partner effectively with families navigating complex circumstances. …”
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Adaptation and performance of a mobile application for early detection of cutaneous leishmaniasis. by Luisa Rubiano, Neal D E Alexander, Ruth Mabel Castillo, Álvaro José Martínez, Jonny Alejandro García Luna, Juan David Arango, Leonardo Vargas, Patricia Madriñán, Lina-Rocío Hurtado, Yenifer Orobio, Carlos A Rojas, Helena Del Corral, Andrés Navarro, Nancy Gore Saravia, Eliah Aronoff-Spencer

“…The use of mobile health technologies has shown promise in such settings, yet data on outcomes in the field remain scarce.…”
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Detecting microcephaly and macrocephaly from ultrasound images using artificial intelligence by Abraham Keffale Mengistu, Bayou Tilahun Assaye, Addisu Baye Flatie, Zewdie Mossie

“…Methods Data were collected from three Ethiopian healthcare facilities to increase model generalizability. …”
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Proactive recognition and early detection in communities through targeted HIV screening by Mehdi Nejat, Hamid Reza Marateb, Mehrshad Alirezaei Farahani, Mohammad Zakaria Rajabi, Maryam Nasirian, Miguel Angel Mañanas, Mohammad Javad Tarrahi, Marjan Mansourian

“…In many resource-limited settings, early detection of HIV is hindered by stigma, limited access to testing, and low risk awareness. …”
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A suggested algorithm for detection of multi drug-resistant tuberculosis in Zimbabwe by Beauty Makamure, Salome Makumbirofa, Tsitsi Bandason, Paul Leccese, Reggie Mutetwa, Val Robertson, Peter Mason

“…Data is limited on the ideal combination of use of these methods in resource limited settings. …”
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Mosquito-based detection of retroviruses and arboviruses in Senegal: expanding the scope of xenosurveillance by Marie Henriette Dior Ndione, El Hadji Ndiaye, Madeleine Dieng, Babacar Diouf, Safietou Sankhé, Diawo Diallo, Mouhamed Kane, Ndeye Marie Sene, Maimouna Mbanne, Faty Amadou Sy, Seynabou Mbaye Ba Souna Diop, Serge Freddy Moukaha Doukanda, Amadou Alpha Sall, Ousmane Faye, Ndongo Dia, Scott C. Weaver, Oumar Faye, Mawlouth Diallo, Gamou Fall, Alioune Gaye, Moussa Moise Diagne

“…These findings contribute to broader efforts in integrated disease surveillance and underscore the utility of combining metagenomics with molecular diagnostics to detect diverse viral signals in high-risk ecological settings.…”
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Detecting retinal neurodegeneration in people with diabetes: Findings from the UK Biobank. by Roomasa Channa, Kyungmoo Lee, Kristen A Staggers, Nitish Mehta, Sidra Zafar, Jie Gao, Benjamin J Frankfort, Sharon Y L Chua, Anthony P Khawaja, Paul J Foster, Praveen J Patel, Charles G Minard, Chris Amos, Michael D Abramoff

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Detection of frictional meltwater on snow surface using a humidity indicator by Shiraz Ahmed Siddiqui, Michael Hasler, Martin Mössner, Joost van Putten, Kurt Schindelwig, Werner Nachbauer

“…Strausky et al. (1998) used fluorescence spectroscopy to detect the meltwater layer. However, they concluded to have observed no water layer above their detection limit of 0.05 µm at speeds up to 0.1 m/s (an unrealistic speed of skiing). …”
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Use of Xpert MTB/RIF in Decentralized Public Health Settings and Its Effect on Pulmonary TB and DR-TB Case Finding in India. by Kuldeep Singh Sachdeva, Neeraj Raizada, Achuthan Sreenivas, Anna H Van't Hoog, Susan van den Hof, Puneet K Dewan, Rahul Thakur, R S Gupta, Shubhangi Kulsange, Bhavin Vadera, Ameet Babre, Christen Gray, Malik Parmar, Mayank Ghedia, Ranjani Ramachandran, Umesh Alavadi, Nimalan Arinaminpathy, Claudia Denkinger, Catharina Boehme, C N Paramasivan

“…<h4>Background</h4>Xpert MTB/RIF, the first automated molecular test for tuberculosis, is transforming the diagnostic landscape in high-burden settings. This study assessed the impact of up-front Xpert MTB/RIF testing on detection of pulmonary tuberculosis (PTB) and rifampicin-resistant PTB (DR-TB) cases in India.…”
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