IMPROVING MICRO-EXPRESSION RECOGNITION WITH AN ENHANCED DESCRIPTOR COMBINING GW-LBP, TGMH, AND WT
Micro-expressions (MEs) are involuntary facial expressions, short-lived (usually between 1/5 and 1/25 seconds), and important in the application of security, psychological tests, and forensics. The MEs are however difficult to identify because it occur quickly and also involve little movement of the muscles. The paper presents an Enhanced Micro-Exp...
By P. Surekha, P. Vidya Sagar, G. Ramesh
DYNAMIC IOT FEEDBACK LOOPS IN MULTI-HOP SIGNAL TRANSMISSION PATTERNS FOR ORACLE APEX-BASED MONITORING SYSTEMS
The Internet of Things (IoT) is a rapidly developing industry that currently requires effective monitoring systems to process data in real time and make decisions. In this paper, a new method of multi-hop signal transmission in the IoTs is suggested to be combined with dynamic feedback loops embedded in the Oracle APEX-based monitoring systems. The...
By Srikanth Reddy Keshireddy
NEXT-GEN PHYSICS EDUCATION: AR/VR-POWERED SIMPLE PENDULUM LEARNING FOR OBE AND NEP 2020
The rapid advancement of immersive technologies has opened new possibilities for enhancing physics education through virtual learning environments. This study presents the design, implementation, and evaluation of an AR/VR-based Simple Pendulum virtual laboratory developed using the Unity platform to support Outcome-Based Education (OBE) under the ...
By Alex Mathew, K. Martin Sagayam, J. Samson Immanuel, P. Esther Jebarani
MANUFACTURING FEASIBILITY AND INDUSTRY READINESS FOR INDIGENOUS AUTO-RETRACTABLE SINGLE-USE SYRINGES IN INDIA: AN EMPIRICAL STUDY TO PREVENT NEEDLESTICK INJURIES AND BLOOD-BORNE INFECTIONS
Needlestick injuries (NSIs) are an ongoing workplace risk associated with healthcare facilities and this risk is even more pronounced in the developing economies where the traditional disposable syringes are still in use as a method of therapy. Even though the use of safety-engineered syringes has been globally endorsed to minimize the occupational...
By Girish Kumar Kuppireddy, Kamineni Saradhi
RULE-BASED ITERATIVE PREPROCESSING WITH DEEP SIAMESE GRU–BILSTM FOR EFFICIENT DOCUMENT STREAMING
Efficient document streaming requires robust preprocessing and semantic modeling to handle noise, redundancy, and morphological variations in large-scale text data. Existing stemming and document processing techniques often fail to preserve contextual relevance, leading to reduced classification and retrieval performance. In a bid to overcome this ...
By K. Ranjit Kumar, S. Thirumaran
DEVELOPMENT OF ADVANCED COMPOSITE MATERIALS FOR AEROSPACE ENGINEERING APPLICATIONS
The world aerospace industry is now facing an important shift from traditional metallic structures to high-tech advanced composite materials in order to meet the two-fold needs of structural optimization and environmental sustainability. This study examines the evolution of high-performance composite materials, particularly carbon fiber reinforced ...
By Ravinder Sharma, Shyam Maurya
MEDIAN ATTRIBUTE HYBRID CLUSTERED MODEL USING PARTICLE SWARM OPTIMIZATION FOR NETWORK INTRUSION DETECTION
The rapid growth of cloud-based and large-scale network infrastructures has increased the complexity and frequency of cyber-attacks, demanding efficient and scalable intrusion detection systems (IDS). This paper will also attempt to create a better Network Intrusion Detection System (NIDS) by incorporating a Hybrid Median Attribute Clustering model...
By Rajasekhar Kaseebhotla, Raghava Rao, Mallikarjuna Rao
CYBER-PHYSICAL MICROGRID MANAGEMENT USING EXPLAINABLE AI FOR HIGH RENEWABLE ENERGY PENETRATION
The evolution of traditional microgrids to integrate distributed renewable energy sources, such as solar and wind, has transformed them into complex cyber-physical systems (CPSs). While this enhances sustainability, it introduces challenges related to intermittency, uncertainty, and real-time operational decision-making. A major concern is the reli...
By Anjali Krushna Kadao, Sanjay Kumar
IMPACT OF SMART TECHNOLOGIES ON PRECISION AGRICULTURE FOR SUSTAINABLE CROP MANAGEMENT
Precision agriculture using smart technologies has transformed sustainable crop management to solve the problem of rising food security, resource optimization, and environmental sustainability. In precision agriculture, modern hardware, including Internet of Things (IoT) sensors and objects, drones, and artificial intelligence (AI), is used to boos...
By Lalit Sachdeva, Utkarsh Anand
INFLUENCE OF THE CENTER OF GRAVITY METHODOLOGY ON THE OPTIMIZATION OF A LOGISTICS DISTRIBUTION NETWORK
The center of gravity (COG) approach is crucial in streamlining the logistics distribution channels by reducing transportation expenses and improving performance. This paper discusses the use of the COG method in the identification of the most optimal distribution center locations in a network of logistics. To determine the level of effectiveness o...
By Astrid Chabeli Vereau Benites, Neicer Campos Vasquez