Enhancing pancreatic cancer detection in CT images through secretary wolf bird optimization and deep learning by Sandhya Mekala, Phani Kumar S

“…Finally, pancreatic tumor detection is performed by SeWBO_Efficient DenseNet. …”
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A Lightweight TA-YOLOv8 Method for the Spot Weld Surface Anomaly Detection of Body in White by Weijie Liu, Miao Jia, Shuo Zhang, Siyu Zhu, Jin Qi, Jie Hu

“…We developed a TA-YOLOv8 network structure which has an improved Task-Aligned (TA) head detection, designed to handle a small sample size, imbalanced positive and negative samples, and high-noise characteristics of Body-in-White welding spot data. …”
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AI-Powered Eye Tracking for Bias Detection in Online Course Reviews: A Udemy Case Study by Hedda Martina Šola, Fayyaz Hussain Qureshi, Sarwar Khawaja

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Extracellular mRNA detected by molecular beacons in tethered lipoplex nanoparticles for diagnosis of human hepatocellular carcinoma. by Xinmei Wang, Kwang Joo Kwak, Zhaogang Yang, Aili Zhang, Xiaoli Zhang, Rachael Sullivan, Dan Lin, Robert L Lee, Carlos Castro, Kalpana Ghoshal, Carl Schmidt, L James Lee

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HiGMA-DADCN: Hirudinaria granulosa multitropic algorithm optimised double attention enabled deep convolutional neural network for psoriasis classification by Soumya C S, Jayanna H S

“…Common limitations include inaccurate classification, small or insufficient datasets, and high rates of false positives and false negatives. To overcome these challenges, this study introduces a novel approach: the Hirudinaria granulosa multitropic algorithm-based Double Attention Deep Convolutional Neural Network (HiGMA-DADCN). …”
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MALDI-TOF mass spectrometry combined with machine learning algorithms to identify protein profiles related to malaria infection in human sera from Côte d’Ivoire by Fateneba Kone, Lucie Conrad, Jean T. Coulibaly, Kigbafori D. Silué, Sören L. Becker, Brama Kone, Issa Sy

“…Machine learning (ML) algorithms were employed for distinguishing P. falciparum-positive from P. falciparum-negative samples. …”
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Artificial intelligence-assisted capsule endoscopy for detecting lesions in Crohn’s disease: a systematic review and meta-analysis by Yuling Bin, Rumei Peng, Yaqian Lee, Zhijie Lee, Yang Liu

“…Meta-regression analysis further revealed that AI algorithm type, study population size, and study design might be key sources of heterogeneity.ConclusionThis study demonstrates the significant potential of AI technology in assisting endoscopists in detecting and identifying CD patients through capsule endoscopy. …”
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A Cross-Stage Focused Small Object Detection Network for Unmanned Aerial Vehicle Assisted Maritime Applications by Gege Ding, Jiayue Liu, Dongsheng Li, Xiaming Fu, Yucheng Zhou, Mingrui Zhang, Wantong Li, Yanjuan Wang, Chunxu Li, Xiongfei Geng

“…Finally, to enhance the model’s robustness, WIoUv2 loss function was employed, ensuring a balanced treatment of positive and negative samples. The CFSD-UAVNet model was evaluated on the publicly available SeaDronesSee maritime dataset and compared with other cutting-edge algorithms. …”
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Express Immunochromatographic Detection of Rotavirus and Adenovirus Antigens in Pre-Hospital Differential Diagnosis of Acute Abdominal Pain in Children by Ekaterina A. Romanova, Leyla S. Namazova-Baranova, Elena Yu. Dyakonova, Aleksey Yu. Romanov, Kazbek S. Mezhidov, Zharadat I. Dohshukaeva

“…In the group with a negative ICA result, surgical treatment was performed in 11% (12/113) cases. …”
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Optimal diagnostic strategy for coronavirus disease 2019 detection in liver transplant recipients: Critical review of available evidence by Michael T Olson, Tania Triantafyllou, Saurabh Singhal

“…Existing diagnostic approaches are marred by unreasonably high false-negative rates. Given the concerns for false-negative results, we performed a narrative review in effort to compile evidence for and against an optimal diagnostic algorithm for detecting COVID-19 in liver transplant recipients. …”
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Unveiling Public Sentiment on Quarter Life Crisis: A Comparative Performance Evaluation of Support Vector Machine and Naïve Bayes Algorithms on Social Media X Data by Talitha Dwi Septyorini, Khothibul Umam, Maya Rini Handayani

“…This research contributes by providing empirical evidence regarding algorithm performance for sentiment analysis in mental health topics, offering recommendations for effective early detection strategies utilizing social media data.…”
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An evaluation of single and multi-date Landsat image classifications using random forest algorithm in a semi-arid savanna of Ghana, West Africa by Eric Adjei Lawer

“…Accurate detection and quantification of land use and land cover (LULC) change is critical for understanding landscape patterns in heterogeneous semi-arid environments. …”
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Validation of ICD‐10 Consensus Code Set for Cirrhosis Detection Using Electronic Health Records in an Asian Population by Jason Pik‐Eu Chang, Hong‐Yi Lin, Pooi‐Ling Loi, Jeanette Pei‐Xuan Ng, Marianne De Roza, Rahul Kumar, Hiang‐Keat Tan, Chanda Kendra Ho, Wei‐Quan Teo, Amber Hwa Hwa Chung, Prema Raj

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Multiscale Sample Entropy-Based Feature Extraction with Gaussian Mixture Model for Detection and Classification of Blue Whale Vocalization by Oluwaseyi Paul Babalola, Olayinka Olaolu Ogundile, Vipin Balyan

“…Additionally, MSE is applied to the Gaussian mixture model (GMM) for blue whale call detection and classification. The performance of the proposed MSE-GMM algorithm is experimentally assessed and benchmarked against traditional methods, including principal component analysis (PCA), wavelet-based feature (WF) extraction, and dynamic mode decomposition (DMD), all combined with the GMM. …”
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Detection of IgM, IgG and IgA against pertussis in pregnant women in I - II - III trimesters by T. A. Skirda, O. Yu. Borisova, N. T. Gadua, A. S. Pimenova, I. I. Mekhant'ev, Yu. I. Stepkin, I. M. Degtyareva, S. V. Bredihin, M. S. Petrova, A. B. Borisova, A. V. Safronova, S. Yu. Kombarova

“…The detection of IgM, IgG and IgA made it possible to detect the active infection process in 11 (3,9%) pregnant women by elevated level of IgA. …”
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Smartphone sensor-based depression detection in campus environments: a proof-of-concept study with small-sample behavioral analysis by Yichen Bai, Yueze Liu, Yang Zhang, Amr Tolba

“…Findings showed negative correlations between PHQ-9 scores and dietary regularity, bedtime, and physical activity levels.DiscussionThis pioneering study highlights smartphone sensors' potential for early depression detection in Chinese higher education, supporting non-invasive mental health interventions.…”
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Artificial intelligence as a transforming factor in motility disorders–automatic detection of motility patterns in high-resolution anorectal manometry by Miguel Mascarenhas, Francisco Mendes, Joana Mota, Tiago Ribeiro, Pedro Cardoso, Miguel Martins, Maria João Almeida, João Rala Cordeiro, João Ferreira, Guilherme Macedo, Cecilio Santander

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Early detection and analysis of accurate breast cancer for improved diagnosis using deep supervised learning for enhanced patient outcomes by Mandika Chetry, Ruiling Feng, Samra Babar, Hao Sun, Imran Zafar, Mohamed Mohany, Hassan Imran Afridi, Najeeb Ullah Khan, Ijaz Ali, Muhammad Shafiq, Sabir Khan

“…Early detection of breast cancer (BC) is essential for effective treatment and improved prognosis. …”
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Two-dimensional Sparse Antenna Array of a Passive Coherent Radar using a Parametric Algorithm of Signal Processing via the Section Method by V. M. Kutuzov, V. I. Veremyev, M. A. Ovchinnikov, G. V. Komarov

“…As a result, the AA becomes sparse, which negatively affects the quality of the AA three-dimensional antenna pattern (AP). …”
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BioFire FilmArray Meningitis/Encephalitis Panel Utilised for the Unsolved Cases of Meningitis/Encephalitis: A Cross-sectional Study by Bashir Ahmad Fomda, Sanam Rasool Wani, Irfan Ul Haq, Anjum Ara, Gulnaz Bashir, Shugufta Roohi, Sheikh Imtiyaz, Naseer Ahmad Bhat

“…Results: Out of the 42 samples tested, organisms were detected in 14 (33.33%) samples, while 28 (66.7%) samples showed no organism. …”
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