Optimizing chemotherapeutic targets in non-small cell lung cancer with transfer learning for precision medicine. by Varun Malik, Ruchi Mittal, Deepali Gupta, Sapna Juneja, Khalid Mohiuddin, Swati Kumari

“…Using cutting-edge methods of feature extraction and transfer learning, we present a drug discovery model for the identification of therapeutic targets in this paper. …”
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Sentiment Analysis using Machine learning for forecasting Indian stock Trend: A brief Survey by A.S. Dash, U. Mishra

“…The purpose of the study is to identify gaps in existing approaches to the analysis of sentiments and models of forecasting trends in the Indian stock market, which can improve the accuracy of the prediction of the dynamics of Indian stocks. The paper presents an overview of the literature on the analysis of sentiments of financial information using lexical methods, machine learning methods and forecasting for the Indian stock market based on sentiment analysis data. …”
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Enhancing satellite image compositing with temporal proximity weighting for deep learning–based cropland segmentation by Reza Maleki, Falin Wu, Guoxin Qu, Amel Oubara, Gongliu Yang

“…However, producing reliable composites for cropland segmentation presents challenges, particularly in maintaining temporal coherence and preserving key phenological stages in time series data. …”
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Lost circulation intensity characterization in drilling operations: Leveraging machine learning and well log data by Ahmad Azadivash

“…Herein, the approach of applying machine learning models to forecast the intensity of lost circulation using well-log data is presented in this work. …”
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Conductive hearing loss does not affect spatial learning and memory in middle-aged guinea pigs by K. M. Barry, J. C. J. Jimena, H. Y. Tarawneh, W. Johnsen, A. Osmanbasic, J. Rodger, W. H. A. M. Mulders

“…We used middle-aged guinea pigs of both sexes to investigate whether 8 weeks of auditory deprivation due to conductive HL caused spatial learning and memory impairments. Forty guinea pigs (20 M, 20 F, ~ 12 months) were tested in the Morris Water Maze (MWM) to assess baseline spatial learning and memory. …”
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Theft detection dataset for benchmarking and machine learning based classification in a smart grid environment by Salah Zidi, Alaeddine Mihoub, Saeed Mian Qaisar, Moez Krichen, Qasem Abu Al-Haija

“…However, it needs effective data extraction. This research presents a theft detection dataset (TDD2022) and a machine learning-based solution for automated theft identification in a smart grid environment. …”
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Prediction and optimization of stretch flangeability of advanced high strength steels utilizing machine learning approaches by Tianyang Li, Zheng Yang, Junyi Cui, Wenjie Chen, Rami Almatani, Yingjie Wu

“…Here, an ML framework was presented to predict and optimize the stretch-flangeability of AHSS based on composition-microstructure-property correlations, using datasets from 212 steel conditions. …”
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Evaluating Label Encoding and Preprocessing Techniques for Breast Cancer Prediction Using Machine Learning Algorithms by Mukesh Kumar, Vivek Bhardwaj

“…The results and assessments of many Machines Learning (ML) models for detecting BC survivability are presented in this manuscript using the BC dataset. …”
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Machine Learning Prediction of Left Ventricular Assist Device Thrombosis from Acoustic Harmonic Power by Kent D. Carlson, Dan Dragomir-Daescu, Barry A. Boilson

“…Left ventricular assist device (LVAD) thrombosis typically presents late and may have devastating consequences for patients. …”
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Nurturing bonds that empower learning: a systematic review of the significance of teacher-student relationship in education by Giulia Di Lisio, Antonio Milá Roa, Amaia Halty, Ana Berástegui, Alba Couso Losada, Carlos Pitillas

“…Exclusion criteria included longitudinal designs, purely qualitative studies, correlational analyses, studies lacking key variables or presenting reversed relationships, those conducted in e-learning environments, university settings, extreme schooling conditions and non-English language studies. …”
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Deep Learning for Intelligent and Automated Network Slicing in 5G Open RAN (ORAN) Deployment by Shu-Ping Yeh, Sonia Bhattacharya, Rashika Sharma, Hassnaa Moustafa

“…This paper focuses on the RAN intelligence ecosystem and presents an intelligent network application (xApp) for network slicing for the RAN using AI and Deep Learning techniques. …”
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Advancing multi-categorization and segmentation in brain tumors using novel efficient deep learning approaches by Nadenlla RajamohanReddy, G. Muneeswari

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Hybrid Optimized Feature Selection and Deep Learning Method for Emotion Recognition That Uses EEG Data by asmaa Bashar Hmaza, Rajaa K. Hasoun

“…Optimization, machine learning, and deep learning algorithms are applied in this study. …”
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SparkNet–A Solar Panel Fault Detection Deep Learning Model by Rohith G, Dikshithula Sai Manish, Rahul Narasimhan A, Anurag Uttam Dhavale, Rohan Reji John

“…Early fault detection like Shading, cracking, or electrical malfunctions is crucial for maximum efficiency and system failure prevention. This work presents SparkNet, a deep learning model developed for the identification of faults due to contaminants on the surface of solar panels. …”
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A Contrastive Learning Framework for Vehicle Spatio-Temporal Trajectory Similarity in Intelligent Transportation Systems by Qiang Tong, Zhi-Chao Xie, Wei Ni, Ning Li, Shoulu Hou

“…To address this limitation, we integrate the temporal dimension into trajectory similarity evaluations and present a novel contrastive learning framework, termed Spatio-Temporal Trajectory Similarity with Contrastive Learning, aimed at training effective representations for spatio-temporal trajectory similarity. …”
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High-Precision Defect Detection in Solar Cells Using YOLOv10 Deep Learning Model by Lotfi Aktouf, Yathin Shivanna, Mahmoud Dhimish

“…This study presents an advanced defect detection approach for solar cells using the YOLOv10 deep learning model. …”
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Incremental learning algorithm for dynamic evolution of domain specific vocabulary with its stability and plasticity analysis by Mansi Jain, Harmeet Kaur, Bhavna Gupta, Jaya Gera, Vandana Kalra

“…This paper presents an incremental learning algorithm for updating domain-specific vocabularies. …”
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Depression Analysis and Detection Using Machine Learning: Incorporating Gender Differences in a Comparative Study by Marina Galanina, Anna Rekiel, Anna BaCzyk, Bozena Kostek

“…Depression is a significant mental health problem and presents a challenge for the machine learning field in the detection of this illness. …”
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An End-to-End Deep Learning System for Automated Fashion Tagging: Segmentation, Classification, and Hierarchical Labeling by Basak Esin Kokturk-Guzel

“…This paper presents a comprehensive end-to-end system designed for the automated tagging of fashion products using deep learning and image processing techniques. …”
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Indoor Air Quality Prediction in Sick Building Using Machine and Deep Learning: Comparative Analysis by Hayder Qasim Flayyih, Jumana Waleed, Amer M. Ibrahim

“…The artificial intelligence (AI) models presented in this work utilized Machine Learning (ML) and Deep Learning (DL) methodologies to train the available dataset. …”
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