A COMPARATIVE STUDY OF ADVANCED CONTROL STRATEGIES FOR INTERLINK CONVERTERS IN HYBRID RENEWABLE ENERGY MICROGRIDS
This paper derives a novel direct model predictive based power controller (DMPPC) for renewable energy systems (RES) to address voltage fluctuations caused by varying power demands and renewable source outputs. This method utilizes the bi-directional DC-DC converter in the Battery Energy Storage (BES) System to level the renewable energy output, al...
By P. Sai Sampath Kumar, P. Suresh, D. Lenine
ADVANCING INCLUSIVE EDUCATION FOR CHILDREN WITH SPEECH AND HEARING IMPAIRMENTS THROUGH AI-DRIVEN INTERACTIVE PLATFORM
Inclusive education aims to provide all children, irrespective of their capabilities, with equal opportunities to learn and participate meaningfully. For students who have speech and hearing disabilities, conventional classrooms often act as communication barriers which inhibit their participation and academic advancement. This study focuses on the...
By Akbarbek Allashev, Muyassar Akhmedova, Diyora Karimova, Shakhnoza Khujamberdieva, Sayyora Davidova, Nasiba Bayturaeva, Manzila Khabibova, Dilfuza Abdullayeva
A BENCHMARK COMPARISON OF SIMPLE CNN, RESNET-50, AND EFFICIENTNET FOR IMAGE CLASSIFICATION
Terrain Type Identification is an essential aspect of environmental monitoring, urban planning, and resource management. This study discusses a comparative investigation of the effectiveness of three Convolutional Neural Network (CNN) architectures Simple CNN, ResNet-50, and the Enhanced Efficient CNN Model which is Efficient Net in training with t...
By V. Sahaya Sakila, R. Sujeetha, S.V. Ramanathan, M. Adhithya Raj, B. Philip Regin
EDUCATIONAL FOUNDATIONS OF AGRICULTURAL TECHNOLOGIES AND THEIR INFLUENCE ON PRECISION AGRICULTURE AND SUSTAINABILITY PRACTICES
Even though agriculture is now one of the most technologically advanced civilian industries, there is still a big gap between the innovations that are available and how they are actually put into practice, particularly in areas where traditional supervision methods are predominant. This study looks at how farmers' ability to implement precision agr...
By Shoira Bobomuratova, Kurbonalijon Zokirov, Najimiddin Jumakulov, G'ofur Allamuratov, Oybek Ulugbekov, Muhabbat Mullajonova, Avazbek Turdunov
IMPLEMENTING AGILE METHODOLOGIES FOR ENHANCING PROJECT MANAGEMENT AND BUSINESS GROWTH IN INDIAN STARTUPS
The Indian startup environment is both volatile and fast-paced, requiring the project management models to be both fast and scalable. Although Agile tools are widely used, most ventures fail to realize the implementation of technical features into business expansion. The crux of the matter is a Hierarchy where a traditional top-down management stru...
By Ashish Kumar Sahu, Shilpi Nishant Tanwani
HORNED LIZARD-CATBOOST FRAMEWORK FOR CYBERBULLYING PREVENTION IN SOCIAL NETWORKS
Cyberbullying are becoming more susceptible to online social networks because of the large-scale usergenerated content. The current methods of detection are primarily post-event methods and lack built-in prevention strategies, thereby limiting their ability to ensure the protection of user privacy and platform security. In this paper, a H...
By N. Sheba Pari, K. Senthil Kumar
HIGH-PERFORMANCE ONE-STAGE BOOSTING PFC CONVERTERS WITH ADVANCED CONTROL FOR ENHANCED POWER QUALITY AND STABILITY
This article introduces an advanced controller technique, as well as a One-Stage Boosting Power Factor Correction (OSBPFC) converter. The proposed approach is oriented towards the creation of more powerful features (PQ), more desirable stability, and adherence to fundamental principles for input interfaces. This technique, which distinguishes it fr...
By M. Devi, S. Lakshmi
A HYBRID MACHINE LEARNING AND DEEP LEARNING ARCHITECTURE FOR AUTOMATED MEDICAL DIAGNOSIS USING HIGH-DIMENSIONAL CLINICAL AND BIOMEDICAL DATA
The speed of the electronic healthcare system, clinical information system, and biomedical sensing technologies has resulted in the creation of extremely huge high-dimensional and heterogeneous medical data. Such data have substantial potential to automatically diagnose diseases, but are difficult to use because they are feature redundant, nonlinea...
By Komal Saxena, M. Praneesh, S. Nancy Lima Christy, K. Nandhini, Tolib Rajabov, M. Nalini, Shalu Gupta
MITIGATING PROPAGATION FAULTS IN REAL-TIME CONTENT STREAMING FOR LOW-BANDWIDTH LEARNING ENVIRONMENTS
The propagation faults are crippling the real-time streaming of content in learning environments with limited bandwidth, resulting in a small loss of packets that propagate into severe packet synchronization errors. The issue that is dealt with in this research is the preservation of continuity in streams through network conditions with throughput ...
By Ankita Sappa
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