Retrieval of pseudo-BRDF-adjusted surface reflectance at 440 nm from the Geostationary Environmental Monitoring Spectrometer (GEMS) by S. Sim, S. Choi, D. Jung, J. Woo, N. Kim, S. Park, H. Kim, U. Jeong, H. Hong, K.-S. Han

“…To address this issue, many satellite algorithms generate Lambertian-equivalent reflectivity (LER) products as a priori surface reflectance data; however, this often results in an underestimation of these data. …”
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Novel Gene Polymorphisms for Stable Warfarin Dose in a Korean Population: Genome-Wide Association Study by Jung Sun Kim, Sak Lee, Jeong Yee, Kyemyung Park, Eun Jeong Jang, Byung Chul Chang, Hye Sun Gwak

“…Warfarin has a narrow therapeutic window and high intra- and inter-individual variability. Considering that many published papers on genotype-guided dosing are derived from European populations, the aim of this study was to investigate novel genetic variants associated with the variability of stable warfarin dose in the Korean population with cardiac valve replacement, using the GWAS approach. …”
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Sparse Convolution FPGA Accelerator Based on Multi-Bank Hash Selection by Jia Xu, Han Pu, Dong Wang

“…However, many computing devices that claim high computational power still struggle to execute neural network algorithms with optimal efficiency, low latency, and minimal power consumption. …”
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Intracranial volume segmentation for neurodegenerative populations using multicentre FLAIR MRI by Justin DiGregorio, Giordano Arezza, Adam Gibicar, Alan R. Moody, Pascal N. Tyrrell, April Khademi

“…In this work, we develop and evaluate 2 traditional and 8 deep learning algorithms for ICV segmentation in FLAIR MRI. Training and testing were completed on 175 ​vol (8317 images) from 2 dementia and 1 vascular disease cohort. …”
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Label efficient phenotyping for Long COVID using electronic health records by Chuan Hong, Jun Wen, Harrison G. Zhang, Vidul Ayakulangara Panickan, Doris Y. Yang, Alicia W. Chen, Xin Xiong, Xuan Wang, Michele Morris, Sara Morini, Rahul Sangar, Andrew Dey, Malarkodi J. Samayamuthu, Katherine Liao, Clara-Lea Bonzel, Vidisha Tanukonda, Monika Maripuri, Jacqueline Honerlaw, Yuk-Lam Ho, Shyam Visweswaran, Isaac S. Kohane, Kelly Cho, Gabriel Brat, Zongqi Xia, Tianxi Cai

“…We introduce the LAbel-efficienT Long COVID pHenotyping (LATCH) algorithm, which synthesizes a small number of gold-standard labels and a large, unlabeled dataset with many electronic health record (EHR) features. …”
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An Integrative Analysis of Transcriptome Combined with Machine Learning and Single-Cell RNA-Seq for the Common Biomarkers in Crohn’s Disease and Kidney Stone Disease by Zhu J, Du Y, Gao L, Wang J, Mei Q

“…We constructed a protein-protein interaction (PPI) network and employed machine learning algorithms to pinpoint potential hub genes (HGs) for diagnosing CD with KSD. …”
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Kombinasi Gifshuffle, Enkripsi AES dan Kompresi Data Huffman untuk Meningkatkan Keamanan Data by Dedi Darwis, Rizky Prabowo, Nurul Hotimah

“…The process of securing a message that many circulated diataranya by using cryptography and steganography. …”
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Weak-lensing Mass Reconstruction of Galaxy Clusters with a Convolutional Neural Network. II. Application to Next-generation Wide-field Surveys by Sangjun Cha, M. James Jee, Sungwook E. Hong, Sangnam Park, Dongsu Bak, Taehwan Kim

“…In this paper, we present our improvements and report on the detailed performance of our CNN algorithm applied to next-generation wide-field (WF) observations. …”
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Rehabilitation for Chronic Constipation: Integrative Approaches to Diagnosis and Treatment by Luana Alexandrescu, Ionut Eduard Iordache, Alina Mihaela Stanigut, Laura Maria Condur, Doina Ecaterina Tofolean, Razvan Catalin Popescu, Andreea Nelson Twakor, Eugen Dumitru, Andrei Dumitru, Cristina Tocia, Alexandra Herlo, Ionut Tiberiu Tofolean

“…Additionally, this particular management is to be used in conjunction with an algorithm designed to enhance and support clinical practice.…”
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Intelligent Data Processing Methods for the Atypical Values Correction of Stock Quotes by T. V. Zolotova, D. A. Volkova

“…For the initial data used in the work, the best result was shown by the implementation of the multiple imputation algorithm based on the detected outliers by the support vector method.Conclusion. …”
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Prediction of Snacking Behavior Involving Snacks Having High Levels of Saturated Fats, Salt, or Sugar Using Only Information on Previous Instances of Snacking: Survey- and App-Base... by Shaima Dammas, Tillman Weyde, Katy Tapper, Gerasimos Spanakis, Anne Roefs, Emmanuel M Pothos

“… BackgroundConsuming high amounts of foods or beverages with high levels of saturated fats, salt, or sugar (HFSS) can be harmful for health. Many snacks fall into this category (HFSS snacks). …”
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CME Velocity Field Calculation Model Based on an Unsupervised Transformer Optical Flow Network by Qingyang Chen, Hong Lin, Zhenping Qiang, Hui Liu, Kaifan Ji, Zhenhong Shang

“…The optical flow algorithm (OF) is one the main methods for calculating image velocity field and has many applications in space weather. …”
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Image-Based Malicious Network Traffic Detection Framework: Data-Centric Approach by Doo-Seop Choi, Taeguen Kim, Boojoong Kang, Eul Gyu Im

“…Artificial intelligence (AI) algorithms have been widely used to detect malicious traffic, but most previous work focused on improving accuracy with various AI algorithms. …”
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Desain Penilaian Risiko Privasi pada Aplikasi Seluler Melalui Model Machine Learning Berbasis Ensemble Learning dan Multiple Application Attributes by R. Ahmad Imanullah Zakariya, Kalamullah Ramli

“…The experimental results show that the application of ensemble learning with the Decision Tree (DT), K-Nearest Neighbor (KNN), and Random Forest (RF) classification algorithms provides better model performance compared to using a single classification algorithm, with an accuracy of 95.2%, a precision value of 93.2%, a F1-score of 92.4%, and a True Negative Rate (TNR) of 97.6%. …”
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Geoinformation monitoring of the educational risk in educational institutions of higher education by Aleksandr N. Kolesenkov, Dmitry S. Zhuravlyov

“…Evaluation of the characteristics of training directions is carried out through the application of the classification method, the decision tree is used, which allows to order many specialties and training directions in a hierarchical, consistent structure according to the established rules. …”
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Optimizing Cluster Heads for Energy Efficiency in Large-Scale Heterogeneous Wireless Sensor Networks by Yi Gu, Qishi Wu, Nageswara S. V. Rao

“…Many complex sensor network applications require deploying a large number of inexpensive and small sensors in a vast geographical region to achieve quality through quantity. …”
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A Scoping Study on Lightweight Cryptography Reviews in IoT by Ikenna Rene Chiadighikaobi, Nurliza Katuk

“…The efforts in designing and developing lightweight cryptography (LWC) started a decade ago. Many scholarly studies in literature report the enhancement of conventional cryptographic algorithms and the development of new algorithms. …”
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Almost and Nearly Isosceles Pythagorean Triples by Eunmi Choi

“…We generate infinitely many NPTs and APTs and then develop algorithms for infinitely many AI-PTs. …”
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Emerging Role of Artificial Intelligence by Mohammad Ilyas

“…Irrespective of these opinions, AI is expected to profoundly impact many aspects of our existence including healthcare, transportation, agriculture, energy, social life, entertainment, fighting crime, and many more. …”
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Estimating Suitable Areas for Dry Almond (Amygdalus communis L.) Cultivation Development in Fars Province using Geographic Information System (GIS) by Ayatollah Karami, Alireza Salehi, Vida Aliyari

“…It appears that the province has not fully utilized its potential, and almond cultivation in many suitable lands has been neglected. Therefore, this study focuses on analyzing land suitability for almond cultivation in Fars province by integrating the Analytic Hierarchy Process (AHP) and fuzzy algorithm with Geographic Information System (GIS).Materials and MethodsIn order to estimate the extent of suitable areas for dry almond cultivation in Fars province, four criteria (including climatic, topographic, environmental adaptation, and socio-economic) and 14 sub-criteria were used. …”
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