• EFFICIENT BLOCKCHAIN LEDGER ACCESS AT LIGHT NODES OF IOT THROUGH MEMORY VIRTUALIZATION 

  ANAND, M. VIVEK; Prof. (Dr.) MUNISH SABHARWAL, Supervisor (GALGOTIAS UNIVERSITY, 2025-03)

  The rapid expansion of the IoT has led to the interconnection of billions of devices, but its reliance on centralized architectures raises critical security concerns such as data breaches, single points of failure, and ...

• OPTIMIZED CLASSIFICATION OF COLORECTAL CANCER USING DEEP LEARNING TECHNIQUES 

  ., Sushama; Dr. Munish Sabharwal, Supervisor (GALGOTIAS UNIVERSITY, 2023-04)

  The healthcare sector is quite different from other sectors. Expectations of people are of greatest level in terms of services in this area regardless of cost. A large amount of budget is being spent on these services but ...

• INVESTIGATIONS TO IMPROVE QOS PARAMETERS IN A FOG COMPUTING ENVIRONMENT 

  ., SAURABH; Dr. D. RAJESH KUMAR, Supervisor (GALGOTIAS UNIVERSITY, 2024-03)

  Fog Computing has emerged as a promising paradigm to handle the growing demands of computing and networking in edge environments. However, ensuring efficient resource utilization and maintaining QoS in an FC environment ...

• AI AND PREDICTIVE ANALYTICS: A QUALITY IMPROVEMENT PREDICTION FOR INJECTION MOLDING FOR AUTOMOBILE INDUSTRY 

  Kumari, Rani; Dr. Kavita, Supervisor (GALGOTIAS UNIVERSITY, 2023-12)

  In today's competitive market, customers demand a quality product and a quick response time is more important than its cost. These are the motivational points and objectives of the research. The presented research work is ...

• EFFECTIVE ROAD NETWORK VIRTUALIZATION AND QUALITY OF SERVICES WITH IOT AND PERVASIVE COMPUTING FOR SMART CITIES 

  P, PADMANABHAN; Dr. SAMPATH KUMAR K, Supervisor (GALGOTIAS UNIVERSITY, 2023-12)

  The pervasive and Internet of Things connectivity is facing different issues in communication in dynamic environments. Because the availability of the connecting resources is changing dynamically in each situation. So, in ...

• PLANT LEAF DISEASE DETECTION USING DEEP LEARNING FOR SEGMENTATION FEATURE EXTRACTION AND CLASSIFICATION 

  PARASHAR, NIDHI; Dr. Prashant Johri, Supervisor (GALGOTIAS UNIVERSITY, 2024-07)

  Timely detection of plant diseases is vital for social and global benefits because it ensures food security by preventing significant crop losses, thus maintaining stable food supplies for a growing population. Early ...

• ENHANCING AND OPTIMIZING THE SECURITY, RELIABILITY AND PATH COMPUTATION FOR SD-WAN USING SDN CONCEPTS 

  Saxena, Mohit Chandra; Dr. Munish Sabharwal, Supervisor (GALGOTIAS UNIVERSITY, 2024-02)

  This thesis investigates and addresses three key challenges in Software-Defined Wide Area Networks (SD-WAN) to enhance their overall performance and usability. The focus areas include Reliability, Path Computation, and ...

• DESIGN AND DEVELOPMENT OF SOIL NUTRIENTS BASED PREDICTION SYSTEM FOR RICE CROP YIELD USING PREDICTIVE ANALYTICS 

  CHANDRAPRABHA, M.; Dr. D. RAJESH KUMAR, Supervisor (GALGOTIAS UNIVERSITY, 2023-12)

  Due to escalation of worldwide populace and changing dietetic needs have scaled up the requirement for food and raw materials supplied to the industry. Due to a number of risks that could affect crop yields, the agriculture ...

• ENHANCED SCLERA RECOGNITION ON OFF-ANGULAR IMAGES 

  V, GOKUL RAJAN; Supervisor, Prof. (Dr.) PARTHEEBAN N (GALGOTIAS UNIVERSITY, 2024-08)

  Biometrics is a proven and more reliable methodology in terms of authentication where there are many biometrics like fingerprint, iris, voice and gait are serving to score more performance. All the Biometrics are well ...

• PERFORMANCE ANALYSIS OF DIFFERENT NEURAL NETWORK ARCHITECTURE FOR BRAIN ACTIVITY 

  GOEL, AKASH (GALGOTIAS UNIVERSITY, 2025-01)

  An ANN is a kind of computing system that simulates the human brain's information processing capabilities by modelling individual neural connections. Self-learning and data-computing ANNs are built from thousands of ...

• OPTIMAL FRAMEWORK FOR IMPROVING INDICATORS OF DIGITAL MARKETING 

  SINGHAL, KANIKA (GALGOTIAS UNIVERSITY, 2024-02)

  In the marketing study phase, powered AI handles data group, rational AI drives market analysis, and sensation AI fosters a deep sympathetic of customer behaviour. Moving into the advertising strategy (STP) phase, mechanical ...

• DESIGN AND DEVELOPMENT OF ML MODEL BASED ON FEATURE EXTRACTION FOR CLASSIFICATION AND SURVIVAL PREDICTION IN LUNG CANCER PATIENTS 

  SONIA, SONIA (GALGOTIAS UNIVERSITY, 2024-02)

  Cancer is a multifactorial complicated illness that is caused by numerous gene mutations or dysregulation of gene interactions. This study, on the other hand, proposes a unique method to cancer categorization. A large ...

• ADVANCED METHODS FOR MOVING OBJECT DETECTION IN PROBLEMATIC VIDEO FOR INTELLIGENT SURVEILLANCE SYSTEM 

  MISHRA, SNEHA; YADAV, DILEEP KUMAR (GALGOTIAS UNIVERSITY, 2023-08)

  In real-time environment, the detection of motion-based object is detected against challenging issues i.e. cluttered background. Practically, the desirable results are hard to obtain due to challenging issues such as ...

• GROUP KEY MANAGEMENT FOR MULTICAST COMMUNICATION IN WSN 

  SRIVASTAVA, GUNJAN; Singh, J. N.; Manjul, Manisha (Galgotias University, 2024-01)

  Wireless Sensor Network contains nodes with limited storage, energy and Computation power. WSN applications are spread in several areas etc. military, Agriculture Science3 and the environment Science. In WSN network, ...

• SURVIVAL PREDICTION IN GLIOBLASTOMA BRAIN TUMOR USING SEGMENTATION AND DETECTION WITH ADVANCE COMPUTATIONAL TECHNIQUES 

  RASTOGI, DEEPENDRA; Johri, Prashant (Galgotias University, 2024-01)

  In recent times, a wealth of evidence has emerged, indicating a notable increase in brain tumor cases, solidifying its status as the 10th most prevalent type of tumor, affecting both children and adults. Glioma tumors, ...

• AI-BASED OPTIMIZATION OF AUTO SCALING TECHNIQUES FOR LOAD BALANCING IN CLOUD COMPUTING ENVIRONMENTS 

  M., ARVINDHAN; KUMAR, D. RAJESH (GALGOTIAS UNIVERSITY, 2023-08)

  An efficient way for task scheduling in cloud computing environment to allocates relevant Virtual Machines in Server, based on the demand is more important .Due to the complicated structure of jobs and resources in cloud ...

• DESIGN AND DEVELOP CONCEPTUAL INTEGRATED PROCESS MANAGEMENT METAMODEL USING AGILE - HUMAN CENTRIC AND DESIGN THINKING APPROACHES 

  SHARMA, RAJEEV; SINGH, J.N. (Galgotias University, 2023-12)

  In this research, the researcher, design and developed conceptual integrated process management metamodel that improves the human centred software development (HCSD). Human centred software development (HCSD) is approach ...

• Detection and Prediction of Bipolar Disorder using Machine Learning Techniques 

  Agnihotri, Nisha; Sagar, Shrddha; Singh, Ajay Shankar (Galgotias University, 2024-02)

  This research can help and guide people having bipolar disorder, their families and all who wants to understand the basics of this brain disorder, its types, it also focuses on its treatment and the way to manage with ...

• ENHANCING EARLY DETECTION OF ALZHEIMER’S DISEASE THROUGH CONVOLUTIONAL NEURAL NETWORK ANALYSIS 

  PRADHAN, NILANJANA; Sagar, Shrddha; Singh, Ajay Shankar (Galgotias University, 2024-01)

  Research on the identification of Alzheimer's disease (AD) has become more and more important, and using Convolutional Neural Networks (CNNs) with many data modalities has showed promise in improving accuracy. A 3-layer ...

• AN AUTHENTICATION TECHNIQUE FOR ENHANCING SECURITY IN HEALTHCARE MONITORING SYSTEMS USING WIRELESS BODY AREA NETWORKS (WBANs) 

  KUMAR, C. RAMESH; KUMAR, T. GANESH (Galgotias University, 2023-05)

  In Health-Care Monitoring (HCM) applications, the Wireless Sensor Network (WSN) gives an important benefit for the subsequent evaluation. The development of a specialized biological network named Body Sensor Networks (BSNs) ...

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