A Prediction Method of Electromagnetic Environment Effects for UAV LiDAR Detection System by Min Huang, Dandan Liu, Liyun Ma, Jingyang Wang, Yuming Wang, Yazhou Chen

“…This paper proposes a Stacking fusion model based on machine learning to predict electromagnetic environment effects. …”
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Prediction and optimization of acoustic absorption performance of quasi-Helmholtz acoustic metamaterials based on LightGBM algorithm by Jianxin Xu, Weikang Mao, Xiaoqian Yu, Bingfei Liu

“…The results of this study show that the acoustic performance of quasi-Helmholtz acoustic metamaterials can be predicted and optimized using machine learning methods. The study in this paper combines the method of machine learning with acoustic problems to provide a fast method for predicting the absorption performance of acoustic metamaterials.…”
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Federated learning based reference evapotranspiration estimation for distributed crop fields. by Muhammad Tausif, Muhammad Waseem Iqbal, Rab Nawaz Bashir, Bayan AlGhofaily, Alex Elyassih, Amjad Rehman Khan

“…Efforts have been made to simplify the (ETo) estimation using machine learning models. The existing approaches are limited to a single specific area. …”
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Pengukuran Performa Apache Spark dengan Library H2O Menggunakan Benchmark Hibench Berbasis Cloud Computing by Aminudin Aminudin, Eko Budi Cahyono

“…Agar di dalam Apache Spark mampu melakukan proses machine learning, maka di dalam paper ini akan dilakukan eksperimen yaitu dengan mengintegrasikan Apache Spark yang bertindak sebagai lingkungan pemrosesan data yang besar dan konsep parallel komputing akan dikombinasikan dengan library H2O yang khusus untuk menangani pemrosesan data menggunakan algoritme machine learning. …”
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Research for SARIMA and PatchTSMixer Models on the IEA Monthly Statistics Dataset by Hu Yuwei

“…However, a significant gap exists in comparing the predictive performance of traditional machine learning methods with advanced deep learning models using real-world datasets. …”
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Speckle Noise Removal by Energy Models with New Regularization Setting by Bo Chen, Jinbin Zou, Weiqiang Zhang

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A survey of security threats in federated learning by Yunhao Feng, Yanming Guo, Yinjian Hou, Yulun Wu, Mingrui Lao, Tianyuan Yu, Gang Liu

“…Abstract Federated learning is a distributed machine learning paradigm that emerged as a solution to the need for privacy protection in artificial intelligence. …”
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The Social Construction of Categorical Data: Mixed Methods Approach to Assessing Data Features in Publicly Available Datasets by Theresa Willem, Alessandro Wollek, Theodor Cheslerean-Boghiu, Martha Kenney, Alena Buyx

“…ObjectiveThis study aimed to explore categorical data’s effects on machine learning model outputs, rooted the effects in the data collection and dataset publication processes, and proposed a mixed methods approach to examining datasets’ data categories before using them for machine learning training. …”
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Collaboration of clustering and classification techniques for better prediction of severity of heart stroke using deep learning by T. Swathi Priyadarshini, Mohd Abdul Hameed

“…Our research aims to present a comprehensive study of machine learning algorithms and deep learning advancements in medical field systems for decision making. …”
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Enhancing the Efficiency of Routing Strategies in WSNs Using Live Streaming Algorithms by Hayder Jasim Alhamdane, Mohsen Nickray

“… The application of machine learning in wireless sensor networks (WSN) has attracted much attention. …”
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Survei Penelitian Metode Kecerdasan Buatan untuk Mendeteksi Ancaman Teknologi Serangan Siber by Eza Yolanda Fitria, Kusprasapta Mutijarsa

“…Teknik dan metode baru machine learning dan deep learning terus dikembangkan oleh banyak peneliti untuk menangani serangan siber. …”
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An embedded intrusion detection and prevention system for home area networks in advanced metering infrastructure by Sahar Lazim Qaddoori, Qutaiba Ibrahim Ali

“…Also, it uses two machine learning models to detect the abnormality in periodic and daily data metering respectively. …”
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Classification of Melanoma Cancer Using Deep Convolutional Neural Networks by Emrah Dönmez, Ali Güneş

“…This study investigates the application of machine learning techniques to diagnose skin lesions, focusing on differentiating between benign moles and malignant melanoma. …”
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Short-Term Prediction of Traffic State for a Rural Road Applying Ensemble Learning Process by Arash Rasaizadi, Seyedehsan Seyedabrishami, Mohammad Saniee Abadeh

“…Results show that the OL model as an ensemble learning model outperforms machine learning models, and its accuracy is equal to 80.03 percent. …”
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A Novel Approach to Face Verification Based on Second-Order Face-Pair Representation by Qiang Hua, Chunru Dong, Feng Zhang

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USING ARTIFICIAL INTELLIGENCE (AI) AND DEEP LEARNING TECHNIQUES IN FINANCIAL RISK MANAGEMENT by Joseph Olorunfemi AKANDE

“…Recent advancements in machine learning, particularly deep learning, offer significant potential for improving the efficiency and effectiveness of risk management systems. …”
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USING ARTIFICIAL INTELLIGENCE (AI) AND DEEP LEARNING TECHNIQUES IN FINANCIAL RISK MANAGEMENT by Joseph Olorunfemi AKANDE

“…Recent advancements in machine learning, particularly deep learning, offer significant potential for improving the efficiency and effectiveness of risk management systems. …”
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A data-driven methodology for the classification of different liquids in artificial taste recognition applications with a pulse voltammetric electronic tongue by Jersson X Leon-Medina, Leydi J Cardenas-Flechas, Diego A Tibaduiza

“…Particularly, in the latter, machine learning techniques are useful in data analysis and have been used to solve classification and regression problems. …”
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Exploring the vulnerability in the inference phase of advanced persistent threats by Qi Wu, Qiang Li, Dong Guo, Xiangyu Meng

“…However, models using machine learning methods lack robustness because it can be attacked easily by adversarial examples. …”
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Ensemble Classifiers for Arabic Sentiment Analysis of Social Network (Twitter Data) towards COVID-19-Related Conspiracy Theories by Abdullah Al-Hashedi, Belal Al-Fuhaidi, Abdulqader M. Mohsen, Yousef Ali, Hasan Ali Gamal Al-Kaf, Wedad Al-Sorori, Naseebah Maqtary

“…This study proposes a machine learning model to analyze the Arabic tweets from Twitter. …”
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