Yield Response of Different Rice Ecotypes to Meteorological, Agro-Chemical, and Soil Physiographic Factors for Interpretable Precision Agriculture Using Extreme Gradient Boosting a... by Md. Sabbir Ahmed, Md. Tasin Tazwar, Haseen Khan, Swadhin Roy, Junaed Iqbal, Md. Golam Rabiul Alam, Md. Rafiul Hassan, Mohammad Mehedi Hassan

“…Machine learning algorithms named Extreme Gradient Boosting (XGBoost) and Support Vector Regression (SVR) have been used for predicting the yield response. …”
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Precision Agriculture: Utilizing Machine Learning for Accurate Plant Disease Diagnosis by Divya Banti, Tandan Gajendra

“…While ML has been applied to the precise diagnosis of plant diseases in this research, it was found to have a great potential to improve agricultural outcomes. …”
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A Detailed Review for Predicting the Quantity of Sugar From Sugarcane Using Various Models by Kathirvel Narayanasamy, Ilayaraja Venkatachalam

“…In the existing research, it is difficult for users to comprehend the output of sugar prediction values. …”
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Boruta-grid-search least square support vector machine for NO2 pollution prediction using big data analytics and IoT emission sensors by Habeeb Balogun, Hafiz Alaka, Christian Nnaemeka Egwim

“…Purpose – This paper seeks to assess the performance levels of BA-GS-LSSVM compared to popular standalone algorithms used to build NO2 prediction models. The purpose of this paper is to pre-process a relatively large data of NO2 from Internet of Thing (IoT) sensors with time-corresponding weather and traffic data and to use the data to develop NO2 prediction models using BA-GS-LSSVM and popular standalone algorithms to allow for a fair comparison. …”
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Tree-Related High-Impedance Fault in Distribution Systems: Modeling, Detection, and Ignition Risk Assessment (Review) by Chunlan Yang, Wenhai Zhang, Rui Tang, Xianyong Xiao

“…The review reveals critical research gaps. In modeling, there is a lack of frameworks that simultaneously elucidate underlying mechanisms and support detection algorithms. …”
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Identification of Spatial and Symbolic City Image Elements Through Social Media Data: A Case Study of Hangzhou by Jiaqi Wang, Yu Shi, Weishun Xu, Yue Wu

“…Despite emerging empirical findings and computational tools that extend city image research to include social dimensions beyond visual perception, methodologies for effectively identifying and analyzing the relationships between the five city image elements remain underdeveloped. …”
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Multi-factor evaluation of clustering methods for e-commerce application by Adam Wasilewski, Krzysztof Juszczyszyn, Vera Suryani

“…Even though the analyzed algorithms were well-known and widely used, the comprehensive and multidirectional comparison was not trivial. …”
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Wind speed and power forecasting using Bayesian optimized machine learning models in Gabal Al-Zayt, Egypt by Nehal Elshaboury, Haytham Elmousalami

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Dataset of Centella Asiatica leaves for quality assessment and machine learning applicationsMendeley Data by Rohini Jadhav, Mayuri Molawade, Amol Bhosle, Yogesh Suryawanshi, Kailas Patil, Prawit Chumchu

“…This dataset is instrumental in the development and evaluation of image recognition algorithms, serving as a foundational resource for computer vision research. …”
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A strategy for network multi-layer information fusion based on multimodel in user emotional polarity analysis by Ronghua Wang, Peng Zhuang

“…Emotional analysis is an important research direction in natural language processing, which aims to automatically recognize and understand emotions and emotional polarity in texts. …”
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Estimating Tree Diameter at Breast Height (DBH) Using iPad Pro LiDAR Sensor in Boreal Forests by Matthew Guenther, Muditha K. Heenkenda, Brigitte Leblon, Dave Morris, Jason Freeburn

“…Two circle fitting algorithms (Pratt, Taubin) and two ellipse fitting algorithms (Taubin, Szpak) were applied to the extracted cross-sections to estimate DBH. …”
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Data Assimilation of Satellite-Derived Arctic Sea-Ice Thickness During Boreal Summer by Jeong-Gil Lee, Daehyun Kang, Joo-Hong Kim, Jong-Min Kim, Sang-Moo Lee, Yoo-Geun Ham

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Applications and Considerations of Artificial Intelligence in Veterinary Sciences: A Narrative Review by Hesameddin Akbarein, Mohammad Hussein Taaghi, Mahyar Mohebbi, Parham Soufizadeh

“…This article presents a comprehensive review of the manifold applications of AI within the domain of veterinary science, categorizing them into four domains: clinical practice, biomedical research, public health, and administration. It also examines the primary machine learning algorithms used in relevant studies, highlighting emerging trends in the field. …”
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A Review: Obstacle Perception Based on Panoramic Vision in Low-altitude Rotorcraft UAVs by Jiang Xiaoyan, Khairul Hamimah Abas, Abdul Rashid Husain

“…It reviews the current state of research and applications both domestically and internationally, covering aspects such as hardware platforms, key algorithms (including model correction, distortion correction, feature matching, image stitching), panoramic imaging, and omnidirectional obstacle detection. …”
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Development and validation of a predictive model for new HIV infection screening among persons 15 years and above in primary healthcare settings in Kenya: a study protocol by Simon Karanja, Amos Otieno Olwendo, Gideon Kikuvi

“…Inferential analysis will be conducted using algorithms that perform best in disease prediction: Extreme Gradient Boosting (XGBoost) and Multilayer Perceptron. …”
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3D‐Printed Titanium Trabecular Scaffolds with Sustained Release of Hypoxia‐Induced Exosomes for Dual‐Mimetic Bone Regeneration by Lincong Luo, Weihan Zheng, Jiaying Li, Tingting Chen, Wanting Xue, Tao Lin, Mingrui Liu, Zi Yan, Jiaxin Yang, Jiamin Li, Jiahao Pu, Yaobin Wu, Konghe Hu, Shiyu Li, Wenhua Huang

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Clinical Approach to Evaluation of Underlying Cardiac Device Infection in Patients Hospitalized with Bacteremia by Dierdre B. Axell-House, Sarwat Khalil, M. Rizwan Sohail

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Vehicle Safety Enhancement System: Sensing and Communication by Huihuan Qian, Yongquan Chen, Yuandong Sun, Niansheng Liu, Ning Ding, Yangsheng Xu, Guoqing Xu, Yunjian Tang, Jingyu Yan

“…Simulations and experimental result validate the feasibility of the algorithms and communication system.…”
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VECTOR MAPS IN MOBILE ROBOTICS by Ales Jelinek

“…The paper describes algorithms from data acquisition to map building but particular emphasis is put on segmentation, line extraction and scan matching algorithms. …”
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Lymph node metastasis in patients with hepatocellular carcinoma using machine learning: a population-based study by Li Yuqin, Li Yuqin, Li Hongyan, Li Hongyan, Li Hongyuan, Li Tingting, He Kun, Fang Jie, Han Yunhui

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