• Machine Learning Approaches to Heart Stroke Prediction 

  V. Deshmukh, Dr. Priyanka; K. Shahade, Dr. Aniket (2024-06-30)

  The ability to predict heart strokes is required in order to promote early intervention to increase chances of preventing the individuals’ death. This study aims to know which machine learning algorithms; namely Logistic ...
• Social Media Influencer Marketing 

  Panda, Vaishali; Mishra, Ashutosh; Kumar Kaushal*, Rajesh (2024-06-30)

  Social media influencer marketing is a very important component as a source of advertising for brands, products, or services. The reason behind this is that consumer behavior is highly influenced by the perceived ...
• The Role of Generative AI in Natural Language Processing Applications 

  K. Shahade, Dr. Aniket; V. Deshmukh, Dr. Priyanka (2024-06-30)

  : Generative AI has evolved very quickly, and has brought major changes for natural language processing techniques. This review paper will specifically focus on exploring the many core aspects of NLP that use generative ...
• Data Visualizations in Campus Portals 

  Manuel, Lorie Lord; Brian Zapatos, Jems; Aldema, Rodel; Wang, Weiming; Joyce Montemayor, Jennifer; Feliscuzo, Larmie; Clark Velasco, Lemuel (2024-06-30)

  Data visualization in campus portals is essential for simplifying complex data into clear and meaningful insights. This powerful tool allows complex data to be transformed into visually compelling representations, thereby ...
• Advancing Information Retrieval 

  Patel, Vaishali; Hiran, Dilendra; Dangarwala, Kruti (2024-06-30)

  Information retrieval (IR) is booming because any application dealing with knowledge must retrieve relevant information from a huge data collection. The clustering mechanism plays a vital role in efficiently mining data ...
• Detection of Choroidal Neovascularization through Parametric Modeling of the Intensity Variation in Fluorescein Angiograms 

  Gunasekaran, Anitha; Ismail, M. Mohamed (2024-06-30)

  : Choroidal Neovascularization (CNV) is a devastating sequela resulting from a wide range of disorders that affect the Retinal Pigment Epithelium (RPE)-Bruch's membrane-choriocapillaris complex. That is popularly known ...
• Siamese Neural Network Optimization Using Distance Metrics for Trademark Image Similarity Detection 

  Suyahman, Suyahman; Sunardi, Sunardi; Murinto, Murinto; Nur Khusna, Arfiani (2024-06-30)

  : This study focuses on optimizing Siamese Neural Networks using various distance metrics to enhance trademark image similarity detection. Traditional Euclidean methods often fail to detect subtle visual differences, leading ...
• Design of Automatic Cloth Drying Tube Machine 

  Mane, Vijay; A. Durge, Harshal; Raut, Shital (2024-06-30)

  The paper presents the Automatic Cloth Drying Tube Machine (ACDTM), an innovative solution designed to tackle the persistent challenge of efficient cloth drying, particularly under adverse weather conditions. The primary ...
• Farm Smart 

  Bahaa, Umar; Hussein, Alaa; Luay, Hani; Sirajaldin, Shamal; Anwar, Muhamad (2024-06-30)

  We present an innovative AI-powered irrigation and plant nurture system designed to revolutionize modern agriculture and greenhouse farming. Our system meticulously monitors plant growth and health, responding dynamically ...
• Software Quality Assurance of Information Systems in Healthcare: A Methodological Review 

  Lyn Quinones, Leah; Ann Lapinig, Judy; Roy Taculin, Alquine; Anne Tayam, Queen; Garciano Jr., Cecilio; Mars Untalan, Frederick; Clark Velasco, Lemuel (2024-06-30)

  Information systems in healthcare are crucial in facilitating digital storage, retrieval and sharing of health-related data. Literature reveals many different aspects of challenges, such as usability, interoperability, ...
• Behavior Analysis of the (DESFO) Algorithm Using Different Transfer Functions and Different Classifiers 

  Abolaban, Ahmed; Emam, Osama; azzam, Safaa (2024-06-30)

  The process of feature selection (FS) plays a crucial role in optimizing model performance in…
• Nemlar Corpus improvement for Arabic Natural Language Processing 

  Kadim, Ayoub (2024-06-30)

  Most machine learning approaches in Natural Language Processing rely mainly on corpora. Indeed, various applications based on this approaches require prior learning of statistical models, including the Hidden Markov Model ...
• Developments in Optical Fiber Network Fault Detection Methods: An Extensive Analysis 

  Ahmed Hazim, Sara; Faleh Mahmood, Ahmed (2024-06-23)

  The rapid development of transmissions media in computer networks has set optical fiber at the very front because of their high data transmission abilities and low constriction. However, guaranteeing the dependability and ...
• Analyzing Machine Learning Techniques in Detecting and Preventing Ransomware 

  Veach, Alexander; Abualkibash, Munther (2024-06-22)

  Ransomware is one of the biggest threats to organizations in the current cybersecurity landscape with severe attacks causing millions of United States Dollars in damages. Many have looked to newer technology, such as ...
• Enhanced Knee Joint Image Analysis Using Hybrid Machine Learning and Computer Vision Techniques 

  Supriya, M.; Khatoon Mohammed, Thayyaba (2024-06-22)

  This research aims to enhance orthopedic diagnosis accuracy by introducing a novel method for knee joint image processing that integrates computer vision and Machine Learning (ML) approaches. Traditional medical imaging ...
• Data Visualization Technologies in Customer Relationship Management: A Methodological Review 

  Abdulmanap, Aisha; A. Iahad, Noorminshah; Zepka, Erik; Farhana Said, Thuraya; Beloy, Jerame; Clark Velasco, Lemuel (2024-06-22)

  Data visualization is integral to customer relationship management (CRM), facilitating comprehension, interpretation, and presentation of customer data effectively. It aids in under-standing customer interactions, identifying ...
• Liver Disease Diagnostics with Explainable AI and Deep Learning 

  Islam, Maheen; Vasker, Nishat; Hasan, Mahamudul (2024-06-22)

  The transformative potential of Artificial Intelligence (AI) in medical diagnostics is hampered by the ”black-box” challenge, where the complex workings of deep learning models obscure the clarity necessary for clinical ...
• A Deep Learning Model for Medical Prescription Transcription: Integrating CNN and OCR for Enhanced Accuracy 

  Islam, Maheen; Hasan, Mahamudul; Vasker, Nishat (2024-06-22)

  Inaccurate interpretation of handwritten medical prescriptions is a pressing problem in healthcare, often leading to medication errors and adversely affecting patient safety. The complexity of deciphering diverse handwriting ...
• A Systematic Review of Recurrent Neural Network Adoption in Missing Data Imputation 

  Aqilah Fadzil Akbar, Nur; Izham Jaya, M.; Faizal Ab Razak, Mohd; Aqilah Zamri, Nurul (2024-06-22)

  Missing data is a pervasive challenge in diverse datasets, often resulting from human error, system faults, and respondent non-response. Failing to address missing data can lead to inaccurate results during data analysis, ...
• A Hybrid Smartphone Recommendation Model Using Different Machine Learning Algorithms 

  Chandak, Kalash; Bokhare, Anuja; Pillai, Samaya; Pabalkar, Vanishree (2024-06-22)

  In today's world, mobile phones are an essential part of many people's daily lives. With several smartphones to choose from, people are often confused about which smartphone will be best for their use. This study attempts ...

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