Addressing inhaler technique challenges in cognitively impaired chronic obstructive pulmonary disease patients: the impact of customized training programs by Vaishnavi V Gaonkar, Vinay V Shanbhag, Shreya S Kajave, Mahek R Mattikop, Mandati Santhosh Reddy

Get full text

Organizational And Social Technologies For Early Cancer Detection Among General Population by N. O. Maikova, I. Y. Artyukhin, J. A. Yeremina

“…In this review, organizational technologies for early cancer detection including screening programs and patient information management systems are discussed. …”
Get full text

Seasonality, molecular epidemiology, and virulence of Respiratory Syncytial Virus (RSV): A perspective into the Brazilian Influenza Surveillance Program. by Lucas A Vianna, Marilda M Siqueira, Lays P B Volpini, Iuri D Louro, Paola C Resende

“…RT-qPCR allowed for viral detection and viral load quantification, to evaluate association with clinical features and mapping of local viral seasonality. …”
Get full text

A systematic review of effective data augmentation in cervical cancer detection by Betelhem Zewdu Wubineh, Andrzej Rusiecki, Krzysztof Halawa

“…The rapid progress of AI has made computer-assisted systems essential in medical fields like cervical cytology analysis. …”
Get full text

Relationship between programmed cell death ligand 1 expression and the number of biopsy specimens in advanced gastric cancer by Taro Mizuno, Yukiya Narita, Yasunobu Ishizuka, Tomoki Sakakida, Kazunori Honda, Toshiki Masuishi, Hiroya Taniguchi, Shigenori Kadowaki, Masashi Ando, Masahiro Tajika, Kei Muro

“…Abstract Purpose Programmed cell death ligand 1 (PD-L1) expression in advanced gastric cancer (AGC) exhibits spatial heterogeneity, which may lead to sampling bias during biopsies. …”
Get full text

Deep dive into deep learning methods for cervical cancer detection and classification by Pooja Patre, Dipti Verma

“…Cervical cancer continues to pose a significant global health challenge, highlighting the urgent need for accurate and efficient diagnostic techniques. Recent progress in deep learning has demonstrated considerable potential in improving the detection and classification of cervical cancer. …”
Get full text

Nanopipettes as a Potential Diagnostic Tool for Selective Nanopore Detection of Biomolecules by Regina M. Kuanaeva, Alexander N. Vaneev, Petr V. Gorelkin, Alexander S. Erofeev

“…This review summarized the latest progress in nanopipette-based nanopore technology for the detection of biomarkers, DNA, RNA, proteins, and peptides, in particular β-amyloid or α-synuclein, emphasizing the impact of technology on molecular diagnostics. …”
Get full text

Experimental economics for machine learning-a methodological contribution on lie detection. by Dmitri Bershadskyy, Laslo Dinges, Marc-André Fiedler, Ayoub Al-Hamadi, Nina Ostermaier, Joachim Weimann

“…We deduce that most of the commonly applied data sets for the training of lie detection algorithms could be improved by applying the toolbox of experimental economics. …”
Get full text

A survey on fault detection for networked systems under communication constraints by Weilu Chen, Jun Hu, Zhihui Wu, Siteng Ma

“…In this paper, the research progress of fault detection (FD) for NSs is reviewed, especially the FD methods in communication-constrained situations. …”
Get full text

Plant leaf disease detection using vision transformers for precision agriculture by Murugavalli S, Gopi R

“…This novel method shows that transformer-based designs might help progress in precision agriculture.…”
Get full text

A Review of the Recent Trends in Mobile Malware Evolution, Detection, and Analysis by Seetah Almarri, Alanoud Bodokhi, Mounir Frikha

“…It discusses significant progress in malware detection techniques, particularly those utilizing behavioral analysis, artificial intelligence (AI), and machine learning (ML). …”
Get full text

Designing an algorithm to detect depression in users: A quantitative correlational study. by Hodan, T.

Get full text

PVLF: point-voxel local feature fusion for 3D detection by Haowei Zhao, Zhuolei Xiao

“…Abstract Significant progress on 3D object detection in point cloud has been made in the detection of large objects with clear shape and contour information, such as cars. …”
Get full text

Lightweight Crack Automatic Detection Algorithm Based on TF-MobileNet by Jiantao Yu, Songrong Qian, Cheng Chen

“…With the progress of social life, the aging of building facilities has become an inevitable phenomenon. …”
Get full text

A DIGITAL QUALITY ASSESSMENT OF BAMBOOSHOOTS.AI FOR HARVEST AND PEST DETECTION by Charlot L. Maramag, Thelma D. Palaoag

“…This research offered an in-depth evaluation of "BambooShoots.AI," a platform aiding bamboo cultivators in harvest timing and pest detection. Using a quantitative method, it incorporated Lund A.M.'…”
Get full text

Review of One-Stage Universal Object Detection Algorithms in Deep Learning by WANG Ning, ZHI Min

“…This paper introduces the network structure and research progress of various algorithms, summarizes their characteristics, advantages, and limitations based on their structures, summarizes the main common datasets and evaluation indicators in the field of object detection, analyzes the performance of various algorithms and their improvement methods, discusses the application status of various algorithms in different fields, and finally looks forward to the future research directions of one-stage object detection algorithms.…”
Get full text

Generative Adversarial Networks In Object Detection: A Systematic Literature Review by Anis Farihan Mat Raffei, Sinung Suakanto, Faqih Hamami, Mohd Arfian Ismail, Ferda Ernawan

“…Collectively, these findings demonstrate how GANs, integrated with modern detectors, are greatly advancing object detection capabilities. Despite this progress, persistent challenges including computational cost and training stability remain. …”
Get full text

A deep learning-based algorithm for the detection of personal protective equipment. by Bo Tong, Guan Li, Xiangli Bu, Yang Wang, Xingchen Yu

“…The proposed MFD-YOLO(1.5) model achieves significant progress in detecting personal protective equipment on construction sites, with a substantial reduction in parameter count, making it suitable for deployment on resource-constrained edge devices.…”
Get full text

Sources, distribution, behavior, and detection techniques of microplastics in soil: A review by Yu-chen Yan, Zhong-fang Yang

“…This paper reviews the latest research progress in terms of the source, content and distribution characteristics, harm, and detection technology of soil microplastics by referring to the relevant literature on soil microplastics worldwide. …”
Get full text

Advances in Virus Biorecognition and Detection Techniques for the Surveillance and Prevention of Infectious Diseases by Shuwen Luo, Lihong Yin, Xiaohui Liu, Xuemei Wang

“…In addition, we analyze the current progress of developed vaccines, combining virus surveillance with vaccine research to provide new ideas for future viral disease prevention and control and vaccine development, and call for global attention and the development of new disease prevention and detection technologies.…”
Get full text