INTELLIGENT ROBOTIC SYSTEM FOR EFFICIENT SOLAR PANEL MONITORING
In this paper, we will introduce a new concept of improving the efficiency of solar panels and the ease of their maintenance by applying relevant robotics and a mobile application concept. This component relies on various sensors, such as rain sensors, dust sensors, and real time clocks (RTCs), to enhance thorough cleaning and maintenance. The robo...
By E. Veera Boopathy, S. Samraj Samraj, S. Vishnushree, L. Vigneash, I. Sheik Arafat, L.S. Karthick
AN APPROACH TOWARDS DIABETIC RETINOPATHY DETECTION AND ANALYSIS THROUGH COGNITIVE COMPUTING
Diabetes is a common chronic condition that significantly impacts patients' daily lives. Although it cannot be cured, if left unmanaged, diabetes can progressively damage vital organs. Without early and appropriate care, it may lead to multiple adverse effects. To ensure proper care, diabetic individuals typically require regular visits to healthca...
By B. Saratha, M S Radhika, V. Shenbaga Priya
A SCOPING STUDY ON ENERGY MANAGEMENT SYSTEM IN THE CITY OF HYDERABAD
India is one of the emerging economies attracting many industries for launching their business in its land. In the present scenario of global warming and in the light of environmental awareness, it is an alarming issue. An important point to be observed and highlighted is regarding waste disposal and radiation produced by various industries. Indust...
By B. Neeraja, B.V. Jayanthi, B. Suchitra, Ch. Indira Priyadarsini, Vasantha Lakshmi
AN EARLY DETECTION OF KAWASAKI DISEASE USING ENHANCED FEATURE SELECTION AND HYBRIDIZATION-BASED CLASSIFICATION APPROACH
Kawasaki disease (KD) is a disease that cause inflammation in blood vessels, impacting kids and causes heart and blood vessel damage. Patients with KD who have medium or big aneurysms, developing coronary dilatation for a minimum of 2 months, are related to the worst late coronary results, which are not widely researched. The primary goal...
By C. Kavitha, A. Subramani
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
APPLICATION OF HYBRID & NOVEL DEEP LEARNING APPROACHES FOR MULTIMODAL SENTIMENT FUSION IN IMAGES & AUDIO ANALYSIS
The paper suggests a hybrid multimodal sentiment analysis (MSA) model that would enhance the accuracy of sentiment prediction through the combination of textual, auditory, and visual information. In most cases, the traditional sentiment analysis models have been challenged because of numerous overlapping features and poor fusion methods when using ...
By Jayaprakash Vattikundala, M. Siva Ganga Prasad
MARKETING AND INNOVATION MANAGEMENT CAPABILITIES IN SCIENCE AND TECHNOLOGY-BASED ENTERPRISES
The enterprises, which are science and technology-based (STBEs), work in a highly dynamic and knowledge-intensive environment where long-lasting competitiveness is determined by the success in matching innovation and marketing potential. Although these capabilities have been studied separately in previous research, a noticeable lack of empirical re...
By Najmitdinov Akhadkhon Khamitdkhanovich, Sardorbek Isroilov, Ibragimov Ulmas Rakhmanovich, Gofurjanov Ibrokhimjon Ilkhomjon Ugli, Tokhir Khorilov Gaybiddinovich