Normalization of Retinal Birefringence Scanning Signals by Boris I. Gramatikov, David L. Guyton

“…This is expected to lead to substantial improvement in algorithms and decision-making software, especially in ophthalmic screening instruments for pediatric applications, without added hardware cost. …”
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Lentil plant disease and quality assessment: A detailed dataset of high-resolution images for deep learning researchMendeley Data by Eram Mahamud, Md Assaduzzaman, Shayla Sharmin

“…Moreover, the dataset serves as a valuable resource for training and testing machine learning algorithms tailored to agricultural settings, facilitating advancements in automated agricultural technologies. …”
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Evaluation of novel NaOH/activated carbon/zeolite biocomposite as an efficient adsorbent for oilfield produced water treatment by Eghe Amenze Oyedoh, Onyedikachi Praise Igbokwe

“…The adsorption process was optimized using Response Surface Methodology (RSM) and Artificial Neural Networks (ANN) integrated with genetic algorithms. The results indicated a hydrocarbon removal efficiency of 99.86 % with RSM and 99.99 % with ANN under optimal conditions. …”
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Three-Dimensional Location and Mapping Analysis in Mobile Robotics Based on Visual SLAM Methods by Gustavo A. Acosta-Amaya, Juan M. Cadavid-Jimenez, Jovani A. Jimenez-Builes

“…Two of the most representative algorithms for solving vSLAM were considered (RTAB-Map and ORB-SLAM2). …”
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A flexible multi-scale approach for downscaling GRACE-derived groundwater storage anomaly using LightGBM and random forest in the Tashk-Bakhtegan Basin, Iran by Arezo Mohtaram, Hossein Shafizadeh-Moghadam, Hamed Ketabchi

“…This was accomplished using a robust and flexible multi-scale approach, leveraging machine learning algorithms, specifically random forest and LightGBM. …”
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Spaced Seed Data Structures for De Novo Assembly by Inanç Birol, Justin Chu, Hamid Mohamadi, Shaun D. Jackman, Karthika Raghavan, Benjamin P. Vandervalk, Anthony Raymond, René L. Warren

“…Many scalable assembly algorithms use the de Bruijn graph (DBG) paradigm to reconstruct genomes, where a table of subsequences of a certain length is derived from the reads, and their overlaps are analyzed to assemble sequences. …”
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Fractional Partial Differential Equation: Fractional Total Variation and Fractional Steepest Descent Approach-Based Multiscale Denoising Model for Texture Image by Yi-Fei Pu, Ji-Liu Zhou, Patrick Siarry, Ni Zhang, Yi-Guang Liu

“…The experimental results prove that the abilities of the proposed denoising model to preserve the high-frequency edge and complex texture information are obviously superior to those of traditional integral based algorithms, especially for texture detail rich images.…”
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Detection of GRBs and OTs by All-Sky Optical and SID Monitors by R. Hudec, M. Spurny, M. Krizek, P. Pata, R. Slosiar, M. Rerabek, M. Klima

“…The processing and measuring of image data is complicated, and sophisticated deconvolution algorithms are used for image restoration. The second method is the GRB detection based on their ionospheric response.…”
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Application of Supply-Demand-Based Optimization for Parameter Extraction of Solar Photovoltaic Models by Guojiang Xiong, Jing Zhang, Dongyuan Shi, Xufeng Yuan

“…The experimental results comparing with ten state-of-the-art algorithms demonstrate that SDO performs better or highly competitively in terms of accuracy, robustness, and convergence. …”
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Dynamic and Quantitative Method of Analyzing Service Consistency Evolution Based on Extended Hierarchical Finite State Automata by Linjun Fan, Jun Tang, Yunxiang Ling, Benxian Li

“…And also the service consistency evolution algorithms (SCEAs) based on EHS-FSA are developed to quantitatively assess these impact factors. …”
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Smartphone based non invasive real time white blood cell counter leveraging blue light and static magnetic field by Nafi Us Sabbir Sabith, Masud Rabbani, Kazi Shafiul Alam, Sheikh Iqbal Ahamed

“…An initial experimentation was carried out on 20 adult participants to verify the system’s effectiveness compared to standard CBC tests (IRB #4051). The developed algorithms exhibit 1.04 and 1.23 RMSE, respectively. …”
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Oriented ice eddy detection network based on the Sentinel-1 dual-polarization data by Jinqun Wu, Jinqun Wu, Yiqin Zheng, Tingting Wang, Chunyong Ma, Chunyong Ma, Ge Chen, Ge Chen

“…Firstly, a high-quality RGB false-color imaging method was developed based on Sentinel-1 dual-polarization (HH+HV) Extra-Wide Swath (EW) mode products, effectively integrating denoising algorithms and image processing techniques. Secondly, an automatic ice eddy detection method based on oriented bounding boxes (OBB) was constructed to identify the ice eddy and output features such as horizontal scales, eddy centers and rotation angles. …”
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Assessing Land Cover Changes Using the LUCAS Database and Sentinel Imagery: A Comparative Analysis of Accuracy Metrics by Beata Hejmanowska, Piotr Kramarczyk

“…Classification was performed using SVM, RF, and CART algorithms in GEE, with an in-depth accuracy analysis conducted using a custom tool. …”
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Recent advances and future technologies in nano-microplastics detection by Ajinkya Nene, Sorour Sadeghzade, Stefano Viaroli, Wenjie Yang, Ucheaga Paul Uchenna, Abhishek Kandwal, Xinghui Liu, Prakash Somani, Massimiliano Galluzzi

“…This work examines cutting-edge developments in nanotechnology-based detection, integrated spectro-microscopic techniques, and AI-driven classification algorithms, offering solutions to bridge gaps in NMP research. …”
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Improvement in Automated Diagnosis of Soft Tissues Tumors Using Machine Learning by El Arbi Abdellaoui Alaoui, Stéphane Cédric Koumetio Tekouabou, Sri Hartini, Zuherman Rustam, Hassan Silkan, Said Agoujil

“…Therefore, we propose a machine learning-based approach which combines a new technique of preprocessing the data for features transformation, resampling techniques to eliminate the bias and the deviation of instability and performing classifier tests based on the Support Vector Machine (SVM) and Decision Tree (DT) algorithms. The tests carried out on dataset collected in Nur Hidayah Hospital of Yogyakarta in Indonesia show a great improvement compared to previous studies. …”
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DESIGN OF A PROPERTY PRODUCT RECOMMENDATION SYSTEM USING ASSOCIATION RULE METHOD BASED ON USER INTERACTION PATTERNS by Susi Wagiyati Purtiningruma, Yudi Irawan Chandrab, Dian Gustinaa, Nafisah Yuliania, Fahrul Nurzamana, Jhonny Z.Aa, Agus Wismoa

“…Data-driven insights and adaptability improve property search by proposing homes depending on user engagement patterns. Strong algorithms establish location, budget, and property associations, and association rule technology and user interaction patterns increase property recommendations. …”
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UAV Collision Avoidance in Unknown Scenarios with Causal Representation Disentanglement by Zhun Fan, Zihao Xia, Che Lin, Gaofei Han, Wenji Li, Dongliang Wang, Yindong Chen, Zhifeng Hao, Ruichu Cai, Jiafan Zhuang

“…Experimental results demonstrate that our technique achieves reliable navigation and effective collision avoidance in unseen scenarios, surpassing state-of-the-art deep reinforcement learning algorithms.…”
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Coffee Rust Severity Analysis in Agroforestry Systems Using Deep Learning in Peruvian Tropical Ecosystems by Candy Ocaña-Zuñiga, Lenin Quiñones-Huatangari, Elgar Barboza, Naili Cieza Peña, Sherson Herrera Zamora, Jose Manuel Palomino Ojeda

“…This research demonstrates the capacity of machine learning algorithms in disease diagnosis, which could be an alternative to help experts quantify the severity of coffee rust in coffee trees and broadens the field of research for future low-cost computational tools for disease recognition and classification…”
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IoT, Blockchain, Big Data and Artificial Intelligence (IBBA) Framework—For Real-Time Food Safety Monitoring by Siva Peddareddigari, Sri Vigna Hema Vijayan, Manickavasagan Annamalai

“…The framework enables real-time data gathering and in situ application of machine learning-powered algorithms to predict contamination and facilitate instant decision making. …”
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An explainable sentiment prediction model based on the portraits of users sharing representative opinions in social sensors by Bin Wang, Enhui Wang, Zikun Zhu, Yangyang Sun, Yaodong Tao, Wei Wang

“…Six machine learning algorithms are used to predict emotional tendency based on users’ portraits. …”
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