Securing IoT Communications via Anomaly Traffic Detection: Synergy of Genetic Algorithm and Ensemble Method by Behnam Seyedi, Octavian Postolache

“…This paper proposes an advanced anomaly detection framework for IoT networks expressed in several phases. In the first phase, data preprocessing is conducted using techniques like the Median-KS Test to remove noise, handle missing values, and balance datasets, ensuring a clean and structured input for subsequent phases. …”
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Sentiment Analysis of Public Satisfaction with the 'INFO BMKG' Application using Naive Bayes, SVM, and KNN by Natasya Aditiya, Pratomo Setiaji, Supriyono Supriyono

“…The dataset was obtained through web scraping from the Google Play Store, consisting of usernames, dates, star ratings, and user comments. Data preprocessing was conducted to clean and prepare the data for analysis. …”
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Classification of Brain Tumors by Using a Hybrid CNN-SVM Model by Talitha Safa Nabila, Abu Salam

“…The project's goal is to create a hybrid model that can classify two labels based on image preprocessing processes, feature extraction, and brain tumor image data classification. …”
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Development of an autoregressive neural network model for predicting accidents in the Khabarovsk Territory by E. V. Shokhirev, P. P. Volodkin, V. A. Lazarev, A. V. Konstantinov

“…Scientific novelty in the form of development of autoregressive neural network model of accident rate forecasting to identify dependencies and patterns of data, which can improve the quality of accident rate forecasting, considering also the possibility of processing a large amount of data with information about the factors affecting the accident rate. …”
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A Combined Deep Learning Method with Attention-Based LSTM Model for Short-Term Traffic Speed Forecasting by Pan Wu, Zilin Huang, Yuzhuang Pian, Lunhui Xu, Jinlong Li, Kaixun Chen

“…In the data preprocessing module, the missing traffic data are repaired to provide a complete dataset for subsequent prediction. …”
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Automatic Identification of Amharic Text Idiomatic Expressions Using a Deep Learning Approach by Habtamu Hunegnaw Limenih, Abebe Belay Adege, Abrham Yaregal Alene, Habtamu Tariku Demasu, Habtamu Molla Belachew

“…For designing our model, we used 4053 idiomatic phrases and 4051 literal Amharic phrases. After the data were collected, text preprocessing techniques were applied to the collected data, and FastText and Word2Vec models were used for word embedding purposes. …”
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Radar Waveform Recognition With ConvNeXt and Focal Loss by Liping Luo, Jie Huang, Yang Yang, Dexiu Hu

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Stroke Dataset Modeling: Comparative Study of Machine Learning Classification Methods by Kalina Kitova, Ivan Ivanov, Vincent Hooper

“…Ivanov et al. tackled issues of imbalanced datasets and algorithmic bias using deep learning techniques, achieving notable results with a 98% accuracy and a 97% recall rate. They utilized resampling methods to balance the classes and advanced imputation techniques to handle missing data, underscoring the critical role of data preprocessing in enhancing the performance of Support Vector Machines (SVMs). …”
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Deep Belief Network-Based Multifeature Fusion Music Classification Algorithm and Simulation by Tianzhuo Gong

“…In this paper, the multifeature fusion music classification algorithm and its simulation results are studied by deep confidence networks, the multifeature fusion music database is established and preprocessed, and then features are extracted. The simulation is carried out using multifeature fusion music data. …”
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Development of an AI model for pneumothorax imaging: Dataset and model optimization strategies for real-world deployment by Wen-Chang Tseng, Yung-Cheng Wang, Wei-Chi Chen, Kang-Ping Lin

“…Methods: The DenseNet121 model was employed using a chest X-ray dataset from a medical center in northern Taiwan, with a total of 6888 images’ divided into training (64 %), validation (16 %), and testing (20 %) sets. Image preprocessing involved normalization, data augmentation (rotation, translation, scaling, brightness adjustment), and standardization. …”
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Optimizing Wet Fingerprint Denoising Net for Enhanced Biometric Security by Mao-Hsiu Hsu, Ying-Hong Shi

“…Preprocessing was conducted to standardize and augment the data and enhance the model’s ability to generalize across diverse data types. …”
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Analisis Prediksi Resiko Diabetes Tahap Awal Menggunakan Algoritma Naive Bayes by Muhtajuddin Danny, Asep Muhidin

“…Desain alur sistem klasifikasi jenis pada penelitian ini, dimulai dari penentuan Dataset, Loading dan baca data, Analisis Eksplorasi Data, Data Preprocessing, membangun model data, evaluasi Confusion Matrix, dan Hyperparameter Tuning. …”
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Enhanced SVM-based model for predicting cyberspace vulnerabilities: Analyzing the role of user group dynamics and capital influx. by Yicheng Long

“…Furthermore, the model demonstrates a 22.2% improvement in computational efficiency, measured as the ratio of prediction count to processing time. It also exhibits lower false positive rates and greater stability in detecting common cyberattacks such as distributed denial of service, phishing, and malware. …”
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Low-Latency Edge-Enabled Digital Twin System for Multi-Robot Collision Avoidance and Remote Control by Daniel Poul Mtowe, Lika Long, Dong Min Kim

“…By performing localized preprocessing at the edge, the system extracts semantically rich features from raw sensor data streams, reducing the transmission overhead of the original data. …”
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SeCo2: Secure Cognitive Semantic Communication in 6G-IoT Networks Using Key-Policy Attribute-Based Encryption and Elliptic Curve Cryptography by G. Sugitha, R. Vasanthi, A. Solairaj, A. V. Kalpana

“…Experimental results demonstrate ultra-low latency data transmis¬sion (in the microsecond range), with a transmission delay as low as 0.003001 s for data sizes ranging from 1 GB to 50 GB, and a network security rate of 98%, ensuring more reliable and privacy-preserving IoT ecosystems.…”
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Pain Level Classification Using Eye-Tracking Metrics and Machine Learning Models by Oussama El Othmani, Sami Naouali

“…The methodology begins with preprocessing steps, including resizing, normalization, and data augmentation, to prepare high-quality input face images. …”
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Controlled Service Scheduling Scheme for User-Centric Software-Defined Network- Based Internet of Things by Mohammed Albekairi

“…In the scheduling process, the operation to data plane migrations is decided using the maximum routed threshold. …”
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Establishment and Test Effect of Artificial Intelligence Optimization Model Based on Convolutional Neural Network by Chunrong Zhou, Zhenghong Jiang

“…In e-healthcare, AI and ML can be used to optimize the workflow, automatically process large amounts of medical data, and provide effective medical decision support. …”
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Robust Seizure Prediction Model Using EEG Signal for Temporal Lobe Epilepsy Leveraging Deep Learning and Continual Learning by Bikash Chandra Sahoo, Shruti Mishra, Sandeep Kumar Satapathy, Sachin Kumar

“…With a custom learning rate scheduler that adjust the learning rate during the training based on the current epoch in the EWC technique we enhanced the accuracy to 98.7% which is pretty much promising result. …”
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Laser-induced Breakdown Spectroscopy Based on Pre-classification Strategy for Quantitative Analysis of Rock Samples by Weiheng KONG, Lingwei ZENG, Yu RAO, Sha CHEN, Xu WANG, Yanting YANG, Yixiang DUAN, Qingwen FAN

“…Then, appropriate pre-processing methods were adopted to improve the stability of spectral data for different elements in different rock types. …”
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