Towards Fast Implementation of Complex RNS Components on FPGAs by Sabbagh Molahosseini Amir, Alsadat Emrani Azadeh

“…The residue number system (RNS) with its inherent parallelism can also be used to enhance the performance of implementation of comput-ing algorithms on FPGAs. However, complex RNS operations such as residue to binary (reverse) conversion, sign detection, scaling, magnitude comparison and overflow detection have not been efficiently implemented on FPGAs until now. …”
Get full text

Big data for imaging assessment in glaucoma by Douglas R. da Costa, Felipe A. Medeiros

“…Despite effective treatments, over 110 million people are projected to have glaucoma by 2040. Early detection and reliable monitoring are crucial to prevent vision loss. …”
Get full text

Exploring deep learning for landslide mapping: A comprehensive review by Zhi-qiang Yang, Wen-wen Qi, Chong Xu, Xiao-yi Shao

“…Traditional methods relying on change detection and object-oriented approaches have been criticized for their dependence on expert knowledge and subjective factors. …”
Get full text

Using New Technologies to Analyze Gut Microbiota and Predict Cancer Risk by Mohammad Amin Hemmati, Marzieh Monemi, Shima Asli, Sina Mohammadi, Behina Foroozanmehr, Dariush Haghmorad, Valentyn Oksenych, Majid Eslami

“…Recent advancements in high-throughput sequencing, metagenomics, and machine learning have revolutionized our understanding of the role of gut microbiota in cancer risk prediction. Early detection is made easier by machine learning algorithms that improve the categorization of cancer kinds based on microbiological data. …”
Get full text

Rapid Classification and Quantitative Prediction of Aflatoxin B₁ Content and Colony Counts in Nutmeg Based on Electronic Nose by Ruiqi Yang, Keyao Zhu, Yuanyu Zhao, Xingyu Guo, Yushi Wang, Jiayu Wang, Huiqin Zou, Yonghong Yan

“…The rapid detection and quantification of microbial quantity and aflatoxin are crucial for food safety and quality. …”
Get full text

Computer Vision-Based Safety Monitoring of Mobile Scaffolding Integrating Depth Sensors by Muhammad Sibtain Abbas, Rahat Hussain, Syed Farhan Alam Zaidi, Doyeop Lee, Chansik Park

“…The proposed system extends object detection algorithms with mathematical logic derived from safety rules to classify four key unsafe conditions related to safety helmet use, guardrail and outrigger presence, and worker overcrowding on mobile scaffolds. …”
Get full text

A Review of Computer Vision Technology for Football Videos by Fucheng Zheng, Duaa Zuhair Al-Hamid, Peter Han Joo Chong, Cheng Yang, Xue Jun Li

“…In the era of digital advancement, the integration of Deep Learning (DL) algorithms is revolutionizing performance monitoring in football. …”
Get full text

AI Techniques and Applications for Online Social Networks and Media: Insights From BERTopic Modeling by Prema Nedungadi, G. Veena, Kai-Yu Tang, Remya R. K. Menon, Raghu Raman

“…Through a systematic review using the PRISMA framework and BERTopic modeling, key AI applications in OSNEM were identified, including fake news detection, sentiment analysis, hate speech detection, big data analysis, bot detection, and insights into public health, disaster relief, and mental health. …”
Get full text

Automated Image-Based Wound Area Assessment in Outpatient Clinics Using Computer-Aided Methods: A Development and Validation Study by Kuan-Chen Li, Ying-Han Lee, Yu-Hsien Lin

“…<i>Results:</i> The results support the accuracy of our algorithm when tested on a standard one-cent coin. …”
Get full text

Current Evidence Supporting the Role of miRNA as a Biomarker for Lung Cancer Diagnosis Through Exhaled Breath Condensate Collection: A Narrative Review by Paolo Albino Ferrari, Cosimo Bruno Salis, Antonio Macciò

“…This review critically evaluates current evidence on miRNA detection in EBC for lung cancer diagnosis.…”
Get full text

A refined lion optimizer for deep learning by Jian Rong, Chenhao Ma, Qinghui Zhang, Yong Cao, Weili Kou

“…Abstract Optimization algorithms play a fundamental role in training neural networks. …”
Get full text

PULSE: A Fast Portable Unit for Lab-on-Site Electrochemistry by Cláudia Ferreira, Fiona Barry, Miomir Todorović, Patrick Sugrue, Sofia Rodrigues Teixeira, Paul Galvin

“…The research focuses on optimising analogue front-end circuits, developing data analysis algorithms, and validating the device through experiments to enhance measurement accuracy and detection speed, enabling on-site measurements across diverse applications. …”
Get full text

Epidemiological and pharmacoeconomic aspects of HIV infection in military by Yu. I. Bulankov, M. A. Bulygin, A. V. Bespalov, K. V. Zhdanov, A. A. Murachev, K. S. Ivanov, Yu. I. Lyashenko

“…The research compares two competitive models: “Current Situation” - without the introduction of algorithms for early detection and treatment of HIV infection, and “Prognosis” - with the introduction of these algorithms.The following results are obtained: implementing a mandatory triennial screening for HIV-antibodies among military personnel allows to raise the detection of HIV-positive military personnel in the early stages of the disease by 55%. …”
Get full text

Using machine learning to predict gamma shielding properties: a comparative study by T A Nahool, A M Abdelmonem, M S Ali, A M Yasser

“…This study employed machine learning (ML) algorithms to predict the linear attenuation coefficients (LACs) of materials in inorganic scintillation detectors, which are crucial for evaluating self-shielding properties. …”
Get full text

An ensemble method for cloud mask calculation based on data from the AHI instrument onboard the Himawari-8/9 satellite using convolutional neural networks by A.I. Andreev, S.I. Malkovsky, M.O. Kuchma, Y.A. Shamilova

“…The paper explores a method for calculating a cloud mask based on the use of several convolutional neural network classifiers trained for various observation conditions using a bootstrapping method. An algorithm developed on the basis of this method makes it possible to detect clouds in images obtained from the Advanced Himawari Imager (AHI) instrument onboard the Himawari-8/9 satellite, regardless of the Sun illumination conditions of the territory of the Asia-Pacific region under surveillance in the warm and cold seasons. …”
Get full text

UAV imaging for spectral characterization of Coffee Leaf Miner (<i>Leucoptera coffeella</i>) infestation in the Cerrado Mineiro region by V. S. W. Orlando, M. D. L. B. T. Galo, G. D. Martins, A. M. Lingua, V. Andaló

“…Conversely, the group of least-infested plants obtained the best result with the Random Forest algorithm, achieving an RMSE of 32.47%. These promising results indicated that CLM can be detected using aerial multispectral imaging data.…”
Get full text

Identification of Elephant Rumbles in Seismic Infrasonic Signals Using Spectrogram-Based Machine Learning by Janitha Vidunath, Chamath Shamal, Ravindu Hiroshan, Udani Gamlath, Chamira U. S. Edussooriya, Sudath R. Munasinghe

“…It is experimentally found that the combination of the Mel-frequency cepstral coefficient (MFCC) feature extraction method and the ridge classifier machine learning algorithm give the highest accuracy of 97% in detecting infrasonic elephant rumbles hidden in seismic signals. …”
Get full text

MangiSpectra: A Multivariate Phenological Analysis Framework Leveraging UAV Imagery and LSTM for Tree Health and Yield Estimation in Mango Orchards by Muhammad Munir Afsar, Muhammad Shahid Iqbal, Asim Dilawar Bakhshi, Ejaz Hussain, Javed Iqbal

“…In the second stage, associated data such as the trees’ age, variety, canopy volume, height, and weather data were combined with predicted health classes for yield estimation through a decision tree algorithm. Three mango-specific indices, namely the Mango Tree Yellowness Index (MTYI), Weighted Yellowness Index (WYI), and Normalized Automatic Flowering Detection Index (NAFDI), were developed to measure the degree of canopy covered by flowers to enhance the robustness of the framework. …”
Get full text

Effects of urban sprawl on land use change in the peripheral villages of Tehran metropolis (case study: Tehran-Damavand axis) by ِAshkan Mohammadi, Naser Shafiei Sabet, Alireza Shakiba

“…After that, the supervised classification operation was monitored by the SVM algorithm and the detection and determination of the sprawl pattern in the study area. …”
Get full text

Sagittal Plane Kinematic Deviations and Spatio-Temporal Gait Characteristics in Children with Idiopathic Toe Walking: A Comparative Analysis Using Statistical Parametric Mapping by Rocio Pozuelo-Calvo, Almudena Serrano-Garcia, Yolanda Archilla-Bonilla, Angel Ruiz-Zafra, Manuel Noguera-Garcia, Kawtar Benghazi-Akhlaki, Miguel Membrilla-Mesa, Carla DiCaudo, Jose Heredia-Jimenez

“…The plantarflexion observed at the end of the gait cycle corresponded to early gait phases due to methodological considerations of the coordinate-based event detection algorithm. <b>Conclusions</b>: Children with ITW demonstrate distinct spatio-temporal adaptations, including increased single support and swing phases, along with reduced walking velocity compared to typically developing peers. …”
Get full text