Category: MASTERS COMPUTER SCIENCE

DEVELOPING BLOOD PRESSURE MODEL USING MACHINE LEARNING ALGORITHM Abstract: High blood pressure, or hypertension, is a significant global health concern that affects millions of individuals and is a leading …

ESTIMATION OF RESTING BLOOD PRESSURE USING FACIAL THERMAL IMAGES BY SEPARATING ACUTE STRESS VARIATIONS  Abstract: Objective: This study explores the potential of utilizing facial thermal images to estimate resting …

DEVELOPMENT OF A ROBUST WI-FI/4G-BASED ROS COMMUNICATION PLATFORM FOR AN ASSEMBLY AND REPAIR MOBILE ROBOT WITH RELIABLE BEHAVIOR  Abstract: In recent years, the integration of Robotics and the Internet …

DEVELOPMENT OF NEURAL NETWORKS CHIP GENERATING DRIVING WAVEFORM FOR ELECTROSTATIC MOTOR  Abstract: The integration of neural networks into the field of electrostatic motors has shown significant promise in enhancing …

DESIGN OF RESILIENT SOCIO-TECHNICAL SYSTEMS BY HUMAN-SYSTEM CO-CREATION  Abstract: The increasing complexity of modern socio-technical systems demands a paradigm shift in their design approach to enhance resilience in the …

A STUDY TO SUPPORT AGILE METHODS MORE EFFECTIVELY THROUGH TRACEABILITY  Abstract: Agile methodologies have gained widespread adoption in software development, offering flexibility, collaboration, and rapid response to change. However, …

THE IMPACT OF ADVANCING AXIS P1435-LE VIDEO CAMERA SECURITY USING HONEYPOT-BASED DECEPTION  Abstract: The rapid proliferation of network-connected devices and the increasing prevalence of cyber threats have highlighted the …

DESIGN OF NETWORKING AND CRYPTOGRAPHY LIBRARY WITH A NON-REPUDIATION FLAVOR FOR BLOCKCHAIN  Abstract: Blockchain technology has introduced a paradigm shift in various industries by providing decentralized, transparent, and secure …

AN EVALUATION OF ATTACKING TRUSTZONE ON DEVICES LACKING MEMORY PROTECTION  Abstract: TrustZone is a security extension found in many modern processors that provides hardware isolation and secure execution environments. …

IRIS-BASED HUMAN IDENTITY RECOGNITION WITH MACHINE LEARNING METHODS AND DISCRETE FAST FOURIER TRANSFORM  Abstract: Human identity recognition plays a crucial role in various applications, such as security systems, access …

IMPACT OF AUGMENTATION METHODS IN ONLINE SIGNATURE VERIFICATION  Abstract: Online signature verification is a prominent method for authenticating individuals in digital transactions and document signing processes. With the increasing …

THE IMPACT OF HOTSPOT ANALYSIS OF COVID-19 INFECTION USING MOBILE-PHONE LOCATION DATA  Abstract: The COVID-19 pandemic has posed significant challenges to public health and necessitated the development of innovative …

EFFECT OF INTERACTION NETWORK STRUCTURE IN A RESPONSE THRESHOLD MODEL  Abstract: The study investigates the impact of interaction network structure on the dynamics of a response threshold model. The …

TRAFFIC INFORMATION INTERPOLATION METHOD BASED ON TRAFFIC FLOW EMERGENCE USING SWARM INTELLIGENCE  Abstract: Traffic congestion has become a major problem in urban areas, leading to increased travel times, fuel …

DEVELOPMENT OF AN EPILEPTIC SEIZURE PREDICTION ALGORITHM USING R–R INTERVALS WITH SELF-ATTENTIVE AUTOENCODER  Abstract: Epilepsy is a neurological disorder characterized by recurrent seizures, which can significantly impact the quality …

THE IMPACT OF AUTOMATIC PARAMETER LEARNING METHOD FOR AGENT ACTIVATION SPREADING NETWORK BY EVOLUTIONARY COMPUTATION  Abstract: The activation spreading network (ASN) is a computational framework used to model the …

DETECTING DECEPTION USING MACHINE LEARNING WITH FACIAL EXPRESSIONS AND PULSE RATE  Abstract: Deception detection is a challenging task with significant implications in various domains, including law enforcement, security, and …