LiDAR-Based Detection of Urban Trees Using a Backpack System by M. F. da Silva, L. F. Castanheiro, A. M. G. Tommaselli, A. M. G. Tommaselli, R. C. dos Santos, R. C. dos Santos, M. Galo, M. Galo

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MULTIDISCIPLINARY APPROACH TO THE TREATMENT OF PATIENTS WITH METASTASES OF MELANOMA WITHOUT DETECTABLE PRIMARY TUMOR by I. G. Zakurdyaeva

“…The combined modality treatment of patients with metastases of melanoma with unknown primary site had allowed 10 patients to survive more than 3 years with no evidence of disease progression. The complete response was achieved in 10 (47,6 %) patients, partial response in 8 (38,1 %) patients and disease progression in 3 (14,3 %) patients. …”
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Early Fault Detection in FOC Driven Induction Motors: A Case Study by Isabela O. Zaparoli, Arismar M. G. Junior, Marco Tulio A. Evo, Diogo S. C. Souza, Helder de Paula

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Machine Learning Approaches for Speech-Based Alzheimer’s Detection: A Comprehensive Survey by Ahmed Sharafeldeen, Justin Keowen, Ahmed Shaffie

“…It is the seventh leading cause of death worldwide, with millions of people affected. Early and accurate detection of AD is critical for improving patient outcomes and slowing disease progression. …”
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Decoding Salivary ncRNAomes as Novel Biomarkers for Oral Cancer Detection and Prognosis by Subhadeep Das, Sampad Basak, Soumyadev Sarkar

“…To achieve better therapy and an early detection of the cancer, it is essential to understand the disease’s etiology at the molecular level. …”
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Detection of African swine fever virus in pork products brought to Taiwan by travellers by Wen-Hung Wang, Chih-Yen Lin, Max R. Chang Ishcol, Aspiro Nayim Urbina, Wanchai Assavalapsakul, Arunee Thitithanyanont, Po-Liang Lu, Yen-Hsu Chen, Sheng-Fan Wang

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Real-time classroom student behavior detection based on improved YOLOv8s by Xiaojing Sheng, Suqiang Li, Sixian Chan

“…Subsequently, we introduce a Progressive Feature Optimization Module (PFOM) to segment the channel dimension of the input feature map. …”
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IRFNet: Cognitive-Inspired Iterative Refinement Fusion Network for Camouflaged Object Detection by Guohan Li, Jingxin Wang, Jianming Wei, Zhengyi Xu

“…Comprehensive ablation studies validate the effectiveness of each proposed component and demonstrate how our iterative refinement strategy enables progressive improvement in detection accuracy.…”
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Photoacoustic polydopamine-indocyanine green (PDA-ICG) nanoprobe for detection of senescent cells by Muhamad Hartono, Andrew G. Baker, Thomas R. Else, Alexander S. Evtushenko, Sarah E. Bohndiek, Daniel Muñoz-Espín, Ljiljana Fruk

“…Therefore, detection of senescent cells in tissues holds great promise for predicting cancer occurrence earlier, assessing tumour progression, aiding patient stratification and prognosis, and informing about the efficacy of potential senotherapies. …”
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Evaluating Machine Learning Algorithms for Financial Fraud Detection: Insights from Indonesia by Cheng-Wen Lee, Mao-Wen Fu, Chin-Chuan Wang, Muh. Irfandy Azis

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Identification problem for stochastic models with application to carcinogenesis, cancer detection and radiation biology by L. G. Hanin

“…This methodology allows for a unified approach to studying identifiability of various stochastic models arising in biology and medicine including models of spontaneous and induced Carcinogenesis, tumor progression and detection, and randomized hit and target models of irradiated cell survival. …”
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From lab to life: technological innovations in transforming cancer metastasis detection and therapy by Soumya Basu, Satish Sasikumar, Subhayan Sur, Viniti Vaidya, Supriya Kheur, Samir Gupta, Amit Ranjan, Manash Paul, Neelu Nawani, Aditi Bhat, Nikita Adak

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Enhancing Bee Mite Detection with YOLO: The Role of Data Augmentation and Stratified Sampling by Hong-Gu Lee, Jeong-Yong Shin, Su-Bae Kim, Min-Jee Kim, Moon S. Kim, Hoyoung Lee, Changyeun Mo

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Interpretable Deep Learning for Pneumonia Detection Using Chest X-Ray Images by Jovito Colin, Nico Surantha

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USE OF NEURAL NETWORKS FOR DETECTION AND RECOGNITION OF THE ANOMALIES IN ENTERPRISE CORPORATIVE INFORMATION SYSTEM by U. A. Vishniakou, O. S. Koval, M. G. Mozdurani Shiraz

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Diagnostic tests for tuberculosis infection and predictive indicators of disease progression: Utilizing host and pathogen biomarkers to enhance the tuberculosis elimination strateg... by Tonino Alonzi, Elisa Petruccioli, Alessandra Aiello, Federica Repele, Delia Goletti

“…This review provides an update on the tests currently used for TBI diagnosis and offers an overview of experimental tests based on either host response analysis or pathogen detection. Additionally, we briefly report experimental tests, such as those based on host RNA signatures, which can help identifying TBI individuals at high risk of progressing toward TB disease. …”
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Effect of disease progression on CSF-directed AAV gene therapy in a large brain animal model of lysosomal storage disease by Jacqueline E. Hunter, Caitlyn M. Molony, Wojciech K. Panek, Charles H. Vite, Sanjeev Chawla, Harish Poptani, John H. Wolfe

“…These results further demonstrate the importance of early detection and treatment of a lysosomal storage disease to successful outcomes.…”
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Ultra tough and high resilience mechanochromic fibres for real world stress detection by Yu Jin Jeong, Youngeun Lee, Taekyung Won, Ji Won Lee, Youngho Eom, Dae Seok Kim

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Metastases to Regional Lymph Nodes in Breast Cancer: Current Views of Detection Methods by I. E. Kondrashkin, V. E. Fedorov, V. Y. Barsukov, Y. I. Orlova, L. F. Zhandarova

“…Consequently, the effective detection of metastases within the regional lymphatic system during breast tumor progression is a critical diagnostic component. …”
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Research on industrial control system intrusion detection method based on simulation modelling by Yi-wei GAO, Rui-kang ZHOU, Ying-xu LAI, Ke-feng FAN, Xiang-zhen YAO, Lin LI

“…At present,intrusion detection system over fieldbus network layer was a basic protection method in industrial control system.However,it has some weakness,such as poor generality,high false-positive rate,and unable to detect unknown anomaly.An industrial control system intrusion detection method based on fieldbus network equipment simulation was proposed.The method prevented control program from being tampered or destroyed based on controller simulation modelling.Controlled object simulation modelling was designed for ensuring that the system input was credible.Thus the intrusion detection of industrial control network was realized.At last,the results indicate that the proposed intrusion detecting method is available.…”
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