• INVESTIGATION ON THE CAPACITANCE FLOWMETER & DEVELOPMENT OF VOID FRACTION SENSOR FOR CRYOGENIC TWO-PHASE FLOW 

  Archana, Mohan; Mathew, Skaria (2024-06-03)

  Cryocoolers are devices that produce very low temperatures and provide adequate amount of cooling power at a specific location and hence can replace the conventional cryogenic fluids. The main difference between cryocoolers ...
• DEVELOPMENT OF TWO STAGE GIFFORD McMAHON CRYOCOOLER 

  Rahul, R; Rijo Jacob, Thomas (2024-06-03)

  Cryogenic fluids have significant growth in different industrial applications, including superconductivity, aerospace etc. Depending on the application, the cryogenic fluid flow's purpose varies greatly. Cryogens are ...
• Fabrication and Characterization of Aluminium Metal Matrix Composites reinforced with Clamshell 

  Muhammad, Malik F; Mubarak, Ali.M. (2024-05-22)

  Metal matrix composites (MMCs) have garnered significant attention due to their improved mechanical properties and versatility in various engineering applications. This study focuses on the fabrication and characterization ...
• Analysis of Springback in Incremental Forming 

  Ramvalsal, S; Sadiq, A (2024-05-22)

  Incremental forming process is having greater industrial relevance for developing minimum or batch number of pieces by forming metals to complex shapes even without using a die. The springback phenomenon is an inherent ...
• Design and Fabrication of a Flexible Robotic Gripper for Material Handling 

  Abhinand, C.S.; Mubarak, Ali.M. (2024-05-24)

  Robotic grippers are integral components in modern automation. Recent technological advances enable gripper-equipped robots to perform many task traditionally associated with the human hand, allowing the use of grippers ...
• DEVELOPMENT OF TWO STAGE GIFFORD McMAHON CRYOCOOLER 

  Rahul, R; Rijo Jacob, Thomas (2024-06-03)

  Cryocoolers are devices that produce very low temperatures and provide adequate amount of cooling power at a specific location and hence can replace the conventional cryogenic fluids. The main difference between cryocoolers ...
• STUDENT-CENTERED AUTOMATED FEEDBACK USING TRANSFORMER BASED APPROACH 

  William, Tom Jacob; Sumod, Sundar (2024-06-30)

  Effective communication between teachers and students is essential in today’s educational environment. This project presents a transformer model that has been designed for the ed- ucational environment. With the use of ...
• DEEP LEARNING BASED ARRHYTHMIA DISEASE DETECTION USING ELECTROCARDIOGRAM SIGNALS 

  Shanimol, Shajan; Christy, D Ponnan (2024-06-30)

  The primary objective of this work is to use the patient’s electrocardiogram (ECG) to develop a method for early diagnosis of Arrhythmia disease. Traditional methods of diagnosing Ar- rhythmia often require extensive ...
• PATH PLANNING IN ROBOTICS USING HYBRID Q-LEARNING APPROACH 

  Sachin, John Thomas; Imthias, Ahamed T P (2024-06-30)

  Reinforcement learning is a technique that enables agents to learn optimal behaviors through interactions with their environment, using rewards and penalties to shape their actions. In this project, we address the challenge ...
• Financial and Investment Management System using Transformers 

  Reniya, Shajahan; Fousia M, Shamsudeen (2024-06-30)

  In the contemporary landscape of stock market analysis, the utilization of advanced nat- ural language processing techniques has become increasingly prevalent. This work presents the application of the Phi 2 Transformer ...
• NEURAL STYLE TRANSFER WITH VGG19 FOR ENHANCED IMAGE GENERATION 

  Munees, N; Sumod, Sundar (2024-06-30)

  This work investigates the use of Neural Style Transfer (NST) with the VGG19 network to achieve artistic manipulation of natural images. NST offers a powerful technique to create new images by combining the content of a ...
• INVESTIGATING THE EFFICIENCY OF ALZHEIMERS DISEASE CLASSIFICATION BY RADIOMIC FEATURES & DEEP LEARNING TECHNIQUES 

  Muhammed, Sufail M K; Nissan, Kunju (2024-06-30)

  Alzheimer’s Disease (AD) poses a significant global health challenge, underscoring the need for advanced tools facilitating early and precise diagnosis. Previous studies have em- ployed various traditional machine learning ...
• Automatic recognition of epileptic seizure using long term EEG 

  Muhammed, Ajmal N; Mubarak, Ali M (2024-06-30)

  Epileptic seizures occur due to disorder in brain functionality which can affect patient’s health. Prediction of epileptic seizures before the beginning of the onset is quite useful for pre- venting the seizure by ...
• RESTORING OF 2D SURGERY SCENES IMAGES THROUGH INPAINTING USING GAN 

  Mithun, M; Chinnu, Jacob (2024-06-30)

  In recent years, surgical techniques have significantly advanced with the adoption of mini- mally invasive procedures that prioritize precision and reduced patient recovery time. How- ever, limited visibility remains a ...
• DEVELOPING A CLASSIFICATION MODEL AND SEMANTIC SIMILARITY DETECTION OF SYSTEM AND SOFTWARE REQUIREMENTS USING SENTENCE TRANSFORMERS 

  V R Manasi, Manasan; Adarsh, S (2024-06-28)

  Reading and understanding similar type of requirements using human interventions can be a laborious and time-consuming task. However, the complexity of natural language makes it difficult to accurately identify semantic ...
• TEXT-DRIVEN HUMAN MOTION SYNTHESIS USING DIFFUSION MODELS 

  K J, Ananthakrishnan; Sumod, Sundar (2024-06-28)

  The term ”text-to-motion generation” pertains to the procedure of producing sequences of human motion by using textual input. The work at hand presents considerable challenges, mostly stemming from the wide range of ...
• ESTABLISHING CONSENSUS IN MULTI-AGENT SYSTEMS VIA REINFORCEMENT LEARNING TECHNIQUE 

  Irfan, E; Resmi, R (2024-06-28)

  A multi agent system(MAS) in the context of artificial intelligence refers to a system composed of multiple interacting agents, which can be entities or robots. These agents work together or compete to achieve individual ...
• ANALYSING EEG SIGNAL TO RECOGNISE EMOTIONS 

  Dilish, Jose; Mubarak, Ali M (2024-06-28)

  Emotion recognition through Electroencephalography (EEG) is widely acknowledged as a reliable method with diverse applications including defense, aerospace, and medical do- mains. This research aims to detect emotions ...
• NAMED ENTITY EXTRACTION IN STRUCTURED FORMAT FROM RESUME USING LLAMA 2 

  Ann B, Merin; Anzar, S M (2024-06-28)

  Recruitment agencies and firms encounter a significant challenge in handling the mul- titude of resumes they receive daily, which come in various formats such as PDFs, DOCX files, and with diverse layouts. Extracting ...
• 3D ATTENTION U-NET BASED MODEL FOR MULTI-REGION BRAIN TUMOR SEGMENTATION 

  ANILA, KUNJUMON; Chinnu, Jacob (2024-06-28)

  Brain tumors are characterized by the abnormal growth of cells within or near the brain tissues. Accurate segmentation of brain tumors is crucial for effective clinical decision mak- ing. The traditional models encounter ...

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