Supervised methods of machine learning for email classification: a literature survey by Muath AlShaikh, Yasser Alrajeh, Sultan Alamri, Suhib Melhem, Ahmed Abu-Khadrah

“…This review delves into issues concerning spam filtering and email classification through supervised machine learning techniques, offering a comprehensive evaluation of strategies, methods, performance indicators, and the benefits and drawbacks of different research. …”
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Deep and Domain Specific Feature-Based Cervical Cancer Classification Using Support Vector Machine Optimized With Particle Swarm Optimization by Ritesh Maurya, Lucky Rajput, Satyajit Mahapatra

“…The proposed methodology is evaluated on the publicly available Sipakmed dataset, comprising 4049 sample images across five different classes. …”
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Anomaly Detection in Network Traffic Using Advanced Machine Learning Techniques by Stephanie Ness, Vishwanath Eswarakrishnan, Harish Sridharan, Varun Shinde, Naga Venkata Prasad Janapareddy, Vineet Dhanawat

“…The study highlights the strengths and weaknesses of each model, providing valuable insights into their practical application for network anomaly detection. By comparing different algorithms, this research contributes to advancing the application of machine learning in network security, offering guidance on model selection and optimization for improved detection of cyber threats.…”
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Quantitative Analysis of Sulfur Elements in Mars-like Rocks Based on Multimodal Data by Yuhang Dong, Zhengfeng Shi, Junsheng Yao, Li Zhang, Yongkang Chen, Junyan Jia

“…Furthermore, to optimize model performance, different feature selection algorithms were evaluated. …”
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A generalized machine learning framework to estimate fatigue life across materials with minimal data by Dharun Vadugappatty Srinivasan, Morteza Moradi, Panagiotis Komninos, Dimitrios Zarouchas, Anastasios P. Vassilopoulos

“…An extreme gradient boosting algorithm-based ML framework encompassing Synthetic Minority Over-sampling TEchnique (SMOTE), categorical data encoding, and external loop cross-validation is developed to evaluate the fatigue life across materials. …”
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MCAF-Net: Multi-Channel Temporal Cross-Attention Network with Dynamic Gating for Sleep Stage Classification by Xuegang Xu, Quan Wang, Changyuan Wang, Yaxin Zhang

“…Automated sleep stage classification is essential for objective sleep evaluation and clinical diagnosis. While numerous algorithms have been developed, the predominant existing methods utilize single-channel electroencephalogram (EEG) signals, neglecting the complementary physiological information available from other channels. …”
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Machine learning-based model for acute asthma exacerbation detection using routine blood parameters by Youpeng Chen, Junquan Sun, Yabang Chen, Enzhong Li, Jiancai Lu, Huanhua Tang, Yifei Xie, Jiana Zhang, Lesi Peng, Haojie Wu, Zhangkai J. Cheng, Baoqing Sun

“…Significant variables were identified through logistic regression, and 12 machine learning algorithms were used to construct diagnostic models, which were evaluated using Receiver Operating Characteristic (ROC) analysis, calibration, and Decision Curve Analysis (DCA). …”
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Data-Driven Approaches for Estimation of EV Battery SoC and SoH: A Review by Shahid Gulzar Padder, Jayesh Ambulkar, Atul Banotra, Sudhakar Modem, Sidharth Maheshwari, Kolleboyina Jayaramulu, Chinmoy Kundu

“…In that regard, we have examined various methodologies, including traditional methods like Coulomb Counting (CC) and Open Circuit Voltage (OCV), advanced filter-based approaches, and contemporary data-driven methods. An extensive evaluation of different methods, along with the identification of strengths and weaknesses, is discussed. …”
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BIOCOMPATIBILITY OF MEDICAL DEVICES BASED ON METALS, CAUSES FORMATION OF PATHOLOGICAL REACTIVITY (A REVIEW OF FOREIGN LITERATURE) by O. M. Rozhnova, V. V. Pavlov, M. A. Sadovoy

“…The objective of the research is a review of approaches to the evaluation of biocompatibility of medical devices on the basis of metals and alloys, and to find ways of overcoming the low engraftment of implanted structures. …”
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An Effective Approach for Human Activity Classification Using Feature Fusion and Machine Learning Methods by Muhammad Junaid Ibrahim, Jaweria Kainat, Hussain AlSalman, Syed Sajid Ullah, Suheer Al-Hadhrami, Saddam Hussain

“…Recent advances in image processing and machine learning methods have greatly enhanced the ability of object classification from images and videos in different applications. Classification of human activities is one of the emerging research areas in the field of computer vision. …”
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Integrating Soil Parameter Uncertainty into Slope Stability Analysis: A Case Study of an Open Pit Mine in Hungary by Petra Oláh, Péter Görög

“…Results demonstrate that traditional methods tend to underestimate slope failure risk, whereas the probabilistic approach reveals failure probabilities ranging from 0% to 46.7% across different sections. The use of tailored statistical tools—such as Python-based filtering algorithms and distribution fitting via MATLAB—enabled more realistic modeling of geotechnical behavior. …”
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Artificial intelligence in educational technology and transformative approaches to English language using fuzzy framework with CRITIC-TOPSIS method by Jingdan Liu, Xujie Bao, Liji Chen

“…Abstract Artificial intelligence (AI) is transforming educational technology by enabling personalized, adaptive, and data-driven learning experiences. Machine learning algorithms analyze student performance to tailor content delivery, while natural language processing facilitates interactive learning through voice assistants and essay evaluation. …”
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Application of the Endurance Time Method in the Seismic Assessment of Moment-Resisting Reinforced Concrete Frames with Setbacks by Mehdi Izadpanah

“…In this method, acceleration functions are generated using optimization algorithms, reducing the need for excessive use of accelerograms. …”
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Discovering customer segments through interaction behaviors for home appliance business by Youngjung Suh

“…We conducted an evaluation study on the validity of cluster analysis by evaluating both the accuracy and stability (consistency) of the resulting customer segments from the two methods. …”
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Hybrid LSTM–Seq2Seq Models: Improved Patient Interaction for Healthcare Chatbots by saba abdalmnam, Suha Mohammed Hadi, Mustafa Musa

“…The capability of the model for sequence prediction is attributed to its robustness. Other methods of evaluation employing measures such as the Nash–Sutcliffe efficiency coefficient, correlation coefficient, and normalized root mean square error demonstrate that the model is superior to other machine learning algorithms utilizing linear regression and GP regression. …”
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Identification of Changing Lower Limb Neuromuscular Activation in Parkinson’s Disease during Treadmill Gait with and without Levodopa Using a Nonlinear Analysis Index by Amir Pourmoghaddam, Marius Dettmer, Daniel P. O’Connor, William H. Paloski, Charles S. Layne

“…This could help clinicians to evaluate the efficacy of interventions and treatments in Parkinson’s disease in a simple manner.…”
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Treatment-resistant depression and intranasal esketamine: Spanish consensus on theoretical aspects by Fernando Mora, Fernando Mora, Jose Antoni Ramos-Quiroga, Jose Antoni Ramos-Quiroga, Jose Antoni Ramos-Quiroga, Jose Antoni Ramos-Quiroga, Enrique Baca-García, Enrique Baca-García, Enrique Baca-García, Enrique Baca-García, Enrique Baca-García, Enrique Baca-García, Enrique Baca-García, Enrique Baca-García, José Manuel Crespo, Luis Gutiérrez-Rojas, Luis Gutiérrez-Rojas, Aránzazu Madrazo, Lucía Pérez Costillas, Lucía Pérez Costillas, Lucía Pérez Costillas, Pilar A. Saiz, Pilar A. Saiz, Vicente Tordera, Eduard Vieta, Eduard Vieta, Eduard Vieta, Eduard Vieta

“…The role of intranasal esketamine in the TRD therapeutic treatment landscape was reviewed, and a treatment algorithm was developed, including specifics on evaluation of response to avoid therapeutic inertia and ensure an adequate treatment.ConclusionsThis is the first consensus developed in Spain regarding theoretical aspects of TRD and the role of intranasal esketamine in TRD therapeutic approach. …”
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Machine vision-based automatic fruit quality detection and grading by Amna, Muhammad Waqar AKRAM, Guiqiang LI, Muhammad Zuhaib AKRAM, Muhammad FAHEEM, Muhammad Mubashar OMAR, Muhammad Ghulman HASSAN

“…Different image processing algorithms including pre-processing, thresholding, morphological and bitwise operations combined with a deep leaning algorithm, i.e., convolutional neural network (CNN), were applied to fruit images for the detection of defective fruit. …”
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Discrimination of Nasopharyngeal Carcinoma from Noncancerous Ex Vivo Tissue Using Reflectance Spectroscopy by Zhihong Xu, Wei Huang, Duo Lin, Shanshan Wu, Maowen Chen, Xiaosong Ge, Xueliang Lin, Liqing Sun

“…High quality reflectance spectra were acquired from nasopharyngeal ex vivo tissues belonging to 18 noncancerous and 19 cancerous subjects, and the combination of principal component analysis-linear discriminant analysis (PCA-LDA) along with leave-one-spectrum-out cross-validation (LOOCV) diagnostic algorithm was subsequently employed to classify different types of tissue group, achieving a diagnostic sensitivity of 73.7% and a specificity of 72.2%. …”
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Using Satellites to Monitor Soil Texture in Typical Black Soil Areas and Assess Its Impact on Crop Growth by Liren Gao, Yuhong Zhang, Deqiang Zang, Qian Yang, Huanjun Liu, Chong Luo

“…This study utilizes the random forest algorithm, Landsat-8 satellite remote sensing data, and climate- and terrain-related environmental covariates to map the spatial distribution of soil texture and analyze its impact on crop growth. …”
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