Monitoring the dynamics of coastal wetlands ecosystems in Brittany (France) using LANDSAT time series and machine learning by Adrien Le Guillou, Simona Niculescu

“…The study exploits the potential of satellite image time series (SITS), machine learning (ML), and Random Forest (RF) algorithms.These algorithms enable the software to learn autonomously from multiple datasets, including Landsat 4/5 and 8 SITS archive images. …”
Get full text

Range and angle estimation with spiking neural resonators for FMCW radar by Nico Reeb, Javier Lopez-Randulfe, Robin Dietrich, Alois C Knoll

“…The proposed neuron model significantly reduces the processing latency compared to traditional frequency analysis algorithms, such as the Fourier transformation (FT), which needs to sample and store entire data frames before processing. …”
Get full text

Enhancing Security and Authenticity in Immersive Environments by Rebecca Acheampong, Dorin-Mircea Popovici, Titus Balan, Alexandre Rekeraho, Manuel Soto Ramos

“…Simulations of tampering and forgery attacks further validated the system’s capability to detect unauthorized modifications, with a 100% detection rate observed across multiple trials. …”
Get full text

Opportunities, challenges, and interventions for agriculture 4.0 adoption by Shanmugam Vijayakumar, Varunseelan Murugaiyan, S. Ilakkiya, Virender Kumar, Raman Meenakshi Sundaram, Rapolu Mahender Kumar

“…This includes developing cost-effective sensors, user-friendly algorithms, and versatile machinery tailored for small-scale farms. …”
Get full text

Identification and verification of immune and oxidative stress-related diagnostic indicators for malignant lung nodules through WGCNA and machine learning by Zhou An, Meichun Zeng, Xianhua Wang

“…Abstract Early detection of lung nodules (LNs) is critical for prevention and treatment of lung cancer. …”
Get full text

Evaluating Binary Classifiers for Cardiovascular Disease Prediction: Enhancing Early Diagnostic Capabilities by Paul Iacobescu, Virginia Marina, Catalin Anghel, Aurelian-Dumitrache Anghele

“…Machine learning methods, particularly classification algorithms, have demonstrated their potential to accurately predict the risk of cardiovascular disease (CVD) by analyzing patient data. …”
Get full text

Enhancing Security for Resource-Constrained Smart Cities IoT Applications: Optimizing Cryptographic Techniques with Effective Field Multipliers by Atef Ibrahim, Fayez Gebali

“…However, the limitations inherent in IoT edge nodes complicate the deployment of robust cryptographic algorithms, which are fundamentally reliant on finite-field multiplication operations. …”
Get full text

A robot process automation based mobile application for early prediction of chronic kidney disease using machine learning by Md. Hasan Imam Bijoy, Md. Jueal Mia, Md. Mahbubur Rahman, Mohammad Shamsul Arefin, Pranab Kumar Dhar, Tetsuya Shimamura

“…The use of computer-aided automated diagnostics can assist nephrologists in early detection and accurate classification, which are essential for improving patient outcomes. …”
Get full text

The importance of biochemical and ultrasound markers in prenatal diagnosis: current methods and development perspectives by Adam Torbicki, Piotr Gaworek, Michał Korpalski, Krzysztof Pawlikowski, Marek Żygłowicz, Dominik Augustyn, Maria Pawluczyk, Mateusz Marciniak, Alicja Trybuła

“… This paper explores the role of biochemical and ultrasound markers in prenatal diagnosis, emphasizing their importance in early detection of chromosomal and structural abnormalities in the fetus. …”
Get full text

AI illuminates paths in oral cancer by Devesh U. Kapoor, Pushpendra Kumar Saini, Narendra Sharma, Ankul Singh, Bhupendra G. Prajapati, Gehan M. Elossaily, Summya Rashid

“…The review also encompasses the utilization of artificial intelligence such as automated image analysis, computer-aided detection and diagnosis integration of machine learning algorithms for oral cancer diagnosis and treatment. …”
Get full text

Carbon estimation of old-growth bald cypress knees using mobile LiDAR by Titilayo T. Tajudeen, Leah C. Rathbun, Leah C. Rathbun, Marcelo Ardón, Helena Mitasova

“…The discrepancy in estimated volume between the allometric equation and the two algorithms became more pronounced with increasing knee height. …”
Get full text

UAV-Enabled Diverse Data Collection via Integrated Sensing and Communication Functions Based on Deep Reinforcement Learning by Yaxi Liu, Xulong Li, Boxin He, Meng Gu, Wei Huangfu

“…Three state-of-the-art deep reinforcement learning (DRL) algorithms are utilized to solve this optimization. …”
Get full text

Deep Learning Unravels Differences Between Kinematic and Kinetic Gait Cycle Time Series from Two Control Samples of Healthy Children Assessed in Two Different Gait Laboratories by Alfonso de Gorostegui, Damien Kiernan, Juan-Andrés Martín-Gonzalo, Javier López-López, Irene Pulido-Valdeolivas, Estrella Rausell, Massimiliano Zanin, David Gómez-Andrés

“…To address the inter-laboratory differences, we explored various pre-processing methods and time series properties that may have been detected by the algorithm. We found that the standardization of the time series values was a successful approach to decrease the ability of the model to distinguish between the two centers. …”
Get full text

Implementation of a Kidney Genetic Service Into the Diagnostic Pathway for Patients With Chronic Kidney Disease in Canada by Clara Schott, Monica Arnaldi, Cadence Baker, Jian Wang, Adam D. McIntyre, Samantha Colaiacovo, Sydney Relouw, Gabriela Almada Offerni, Carla Campagnolo, Logan R. Van Nynatten, Ava Pourtousi, Alexa Drago-Catalfo, Victoria Lebedeva, Michael Chiu, Andrea Cowan, Guido Filler, Lakshman Gunaratnam, Andrew A. House, Susan Huang, Hariharan Iyer, Arsh K. Jain, Anthony M. Jevnikar, Khaled Lotfy, Louise Moist, Faisal Rehman, Pavel S. Roshanov, Ajay P. Sharma, Matthew A. Weir, Kendrah Kidd, Anthony J. Bleyer, Robert A. Hegele, Dervla M. Connaughton

“…Testing was performed for the detection of variants in genes known to cause CKD. …”
Get full text

A Field-Programmable Gate Array-Based Adaptive Sleep Posture Analysis Accelerator for Real-Time Monitoring by Mangali Sravanthi, Sravan Kumar Gunturi, Mangali Chinna Chinnaiah, Siew-Kei Lam, G. Divya Vani, Mudasar Basha, Narambhatla Janardhan, Dodde Hari Krishna, Sanjay Dubey

“…An FPGA-based Hierarchical Binary Classifier (HBC) algorithm was developed to learn and evaluate sleep posture in real time. …”
Get full text

Multilayer W-doped vanadium dioxide thermal sensors with extended operation region by Callum Wheeler, Yuxiao Zhu, Kai Sun, Bohao Ding, Ruomeng Huang, Otto L. Muskens, C.H. (Kees) de Groot

“…Summary: Bolometers rely upon the temperature coefficient of resistance (TCR) of their underpinning sensing layer to detect infrared radiation. Vanadium dioxide (VO2) exhibits a very large, but abrupt TCR associated with its monoclinic to rutile phase transition. …”
Get full text

Development of an Internet of Things (IoT) embedded open-source gamma-ray detector using CMOS image sensor technology by D. L. Corzi, D. L. Corzi, J. Lipovetzky, J. Lipovetzky, J. Lipovetzky, M. Gómez Berisso, M. Gómez Berisso, M. Gómez Berisso

“…The detector uses simple, physics-based processing algorithms to allow for particle detection using CMOS image sensors on boards with limited processing capabilities. …”
Get full text

Machine learning-enhanced SERS for accurate azoospermia diagnosis via seminal plasma exosome analysis by Jiarui Wang, Shiyan Jiang, Jiaxin Shi, Jing Wang, Shengrong Du, Zufang Huang

“…This integrated SERS and machine learning approach offers a sensitive, label-free, and objective diagnostic tool for early detection and monitoring of azoospermia, potentially enhancing clinical outcomes and patient management.…”
Get full text

A Review of Approaches for Rapid Data Clustering: Challenges, Opportunities, and Future Directions by Mahnoor, Imran Shafi, Mahnoor Chaudhry, Elizabeth Caro Montero, Eduardo Silva Alvarado, Isabel de la Torre Diez, Md Abdus Samad, Imran Ashraf

“…The paper includes a brief introduction to clustering, discussing various clustering algorithms, improvements in handling various data types, and appropriate evaluation metrics. …”
Get full text

Stomatal State Identification and Classification in Quinoa Microscopic Imprints through Deep Learning by Abdul Razzaq, Sharaiz Shahid, Muhammad Akram, Muhammad Ashraf, Shahid Iqbal, Aamir Hussain, M. Azam Zia, Sulman Qadri, Najia Saher, Faisal Shahzad, Ali Nawaz Shah, Aziz-ur Rehman, Sven-Erik Jacobsen

“…In leaf imprint, the state of stomata has been determined by measuring the correlation between the area of stomata and the aperture of each detected stoma in the image. The stomata states have been classified through the Support Vector Machine (SVM) algorithm. …”
Get full text