Impact of climate and demographic changes on the vegetation of the M’goun Geopark UNESCO of Morocco (1984-2021) by Gharnit Youssef, Moujane Abdelaziz, Outourakht Aboubakre, Aziz Hasib, Abdelali Boulli

“…The primary goal of this study is to identify changes in the vegetation cover of the geopark M’goun region of Morocco, as a sample area to track the Moroccan vegetation status, and the crucial factors that influenced its evolution between 1984 and 2021. …”
Get full text

Presence and distribution of apple proliferation disease in the Kyustendil region of Bulgaria by Aneliya Z. BORISOVA, Aneliya Raykova

“…A total of 335 apple trees were sampled from the experimental and three commercial orchards of the Institute of Agriculture - Kyustendil and from fifteen private orchards. …”
Get full text

Detection of acute dengue virus infection, with and without concurrent malaria infection, in a cohort of febrile children in Kenya, 2014-2019, by clinicians or machine learning alg... by David M Vu, Amy R Krystosik, Bryson A Ndenga, Francis M Mutuku, Kelsey Ripp, Elizabeth Liu, Carren M Bosire, Claire Heath, Philip Chebii, Priscilla Watiri Maina, Zainab Jembe, Said Lipi Malumbo, Jael Sagina Amugongo, Charles Ronga, Victoria Okuta, Noah Mutai, Nzaro G Makenzi, Kennedy A Litunda, Dunstan Mukoko, Charles H King, A Desiree LaBeaud

“…DENV testing was performed afterwards. We randomly sampled 70% of the dataset to develop DENV and malaria prediction models using boosted logistic regression, decision trees and random forests, support vector machines, naïve Bayes, and neural networks with 10-fold cross validation, tuned to maximize accuracy. 30% of the dataset was reserved to validate the models. 485 subjects (7.8%) had DENV, and 3,145 subjects (50.7%) had malaria. 220 (3.5%) subjects had co-infection with both DENV and malaria. …”
Get full text

Enhancing Power Grid Reliability With Machine Learning and Auxiliary Classifier Generative Adversarial Networks: A Study on Fault Detection Using the Georgia Electric System Load D... by Hafeez Ur Rehman Siddiqui, Robert Brown, Adil Ali Saleem, Muhammad Amjad Raza, Sandra Dudley

“…A comparative evaluation of models including Decision Trees (DT), Random Forest (RF), Extra Tree Classifier (ETC), Gradient Boosting Classifier (GBC), and K-Nearest Neighbors (KNN) revealed the Extra Tree Classifier achieved the highest testing accuracy of 93.85%. …”
Get full text

Cloning of the Coat Protein Gene of Little Cherry Virus 1 and the Preparation of a Polyclonal Antibody by Wei Li, Qinwang Shang, Xiaohou Xu, Qingle Chang, Deya Wang

Get full text

Assessment of binary prediction of fraudulent advertisements in ATS candidate tracking cloud systems by V. V. Ligi-Goryaev, G. A. Mankaeva, T. B. Goldvarg, S. S. Muchkaeva, V. V. Dzhakhnaev

“…Traditional classification algorithms, including LSVC (Support Vector Machine), GBT (Gradient Boosting Tree), and RF (Random Forest), have been chosen for this study. …”
Get full text

Efficient Fault Diagnosis of Elevator Cabin Door Drives Using Machine Learning with Data Reduction for Reliable Transmission by Jakub Gęca, Dariusz Czerwiński, Bartosz Drzymała, Krzysztof Kolano

“…A comparative analysis of the fault detection performance of seven different machine learning algorithms was conducted. …”
Get full text

Near Real-Time Flood Monitoring Using Multi-Sensor Optical Imagery and Machine Learning by GEE: An Automatic Feature-Based Multi-Class Classification Approach by Hadi Farhadi, Hamid Ebadi, Abbas Kiani, Ali Asgary

“…The method automatically generates training samples through masks derived from spectral indices. …”
Get full text

A Novel Supervoxel-Based NE-PC Model for Separating Wood and Leaf Components from Terrestrial Laser Scanning Data by Shengqin Gong, Xin Shen, Lin Cao

“…However, previous studies on wood–leaf separation exhibited limitations in unsupervised adaptability and robustness to complex tree architectures, while demonstrating inadequate performance in fine branch detection. …”
Get full text

Occurrence and distribution of citrus tatter leaf disease in Zhejiang and genetic diversity analysis of its pathogen by LU Lianming, LIU Shunmin, AN Baoju, DU Danchao, HU Xiurong, PU Zhanxu, LÜ Jia

“…Out of the 951 collected citrus samples, 311 samples were infected with the disease, with a positive detection rate of 32.70%. …”
Get full text

Machine learning frameworks to accurately estimate the adsorption of organic materials onto resin and biochar by Raouf Hassan, Mohammad Reza Kazemi

Get full text

Preliminary study of canine distemper virus transmission from small mammals to Malayan tiger at Kampung Besul Lama, Terengganu, Malaysia by Bryan Andrew Lazarus, Muhammad Farris Mohd Sadali, Farina Mustaffa Kamal, Khor Kuan Hua, Ridhwan Abdul Wahab, Mohd Arifin Kaderi, Mohd Lutfi Abdullah, Tengku Rinalfi Putra Tengku Azizan, Hafandi Ahmad

“…Materials and Methods: Wildlife sampling was conducted between July 2023 and May 2024 in Kampung Besul Lama, where CDV was previously detected in a Malayan tiger. …”
Get full text

Deep Residual Transfer Ensemble Model for mRNA Gene-Expression-Based Breast Cancer by Job Prasanth Kumar Chinta Kunta, Vijayalakshmi A. Lepakshi

“…Here, ResNet101 avoided gradient vanishing, while AlexNet provided 4096-dimensional features to train the ensemble-of-ensemble (E2E) classifier for consensus-based breast cancer detection. The E2E ensemble learning method used bagging, AdaBoost, Random Forest, Extra Tree Classifier and XGBoost algorithms as base classifier to perform maximum voting-based prediction. …”
Get full text

Integrating AI predictive analytics with naturopathic and yoga-based interventions in a data-driven preventive model to improve maternal mental health and pregnancy outcomes by Neha Irfan, Sherin Zafar, Kashish Ara Shakil, Mudasir Ahmad Wani, S. N. Kumar, A. Jaiganesh, K. M. Abubeker

Get full text

Enhancing personalized learning: AI-driven identification of learning styles and content modification strategies by Md. Kabin Hasan Kanchon, Mahir Sadman, Kaniz Fatema Nabila, Ramisa Tarannum, Riasat Khan

“…This research endeavors to devise an effective method for detecting a learner’s preferred learning style and subsequently adapting the learning content to align with that style, utilizing artificial intelligence AI techniques. …”
Get full text

Impacts of phosphite treatment on Phytophthora community assemblages and inoculum abundances in Phytophthora-infected forest soil by Shannon Hunter, Nick Waipara, Bruce Burns, Peter Scott, Nari Williams

“…Phytophthora community and inoculum abundance were investigated in response to phosphite treatments at two field sites (Huia and Waitoki) in infected kauri stands in Auckland, New Zealand. At Huia, soil sampling and tree health surveying were conducted in November 2023 on trees treated with phosphite in 2012 as part of an earlier study. …”
Get full text

Occurrence and bioaccumulation of organophosphate flame retardants in high-altitude regions: A comprehensive field survey in Qinghai Province, China by Haibao Zhu, Jinlin Hu, Zheng Ruan, Danhua Liu, Meirong Zhao

“…OPFRs were quantified in soil, grass, tree bark, and wild rat liver samples collected from Qinghai, China (elevation: 2657–4635 m), and their occurrence and bioaccumulation behaviors were systematically investigated. …”
Get full text

Accurate and robust prediction of genetic relationship from whole-genome sequences. by Hong Li, Gustavo Glusman, Chad Huff, Juan Caballero, Jared C Roach

“…GRAB can be used in workflows for identifying unreported relationships, validating reported relationships in family-based studies, and detection of sample-tracking errors or duplicate inclusion. …”
Get full text

Research on Security Enhancement for Abnormal Content Release in Unified Audio Video Information service Systems by FENG Junhao

“…Video stream inspection latency is controlled within 5 seconds, and the time from abnormal sample detection to alert within 2 seconds, allowing for rapid response measures.…”
Get full text

Method and application of stability prediction model for rock slope by Yun Qi, Chenhao Bai, Xuping Li, Hongfei Duan, Wei Wang, Qingjie Qi

“…The sample outline is standardized utilizing polar deviation, and the distribution of sample classes is balanced through the application of the Synthetic Minority Over-sampling Technique (SMOTE). …”
Get full text