DESIGN AND IMPLEMENTATION OF AN AI-BASED MEDICAL ANALYTICS FRAMEWORK EMPLOYING DEEP NEURAL NETWORKS AND ADVANCED MACHINE LEARNING MODELS FOR PRECISION HEALTHCARE
The digitalization of healthcare is fast, bringing about abundant and diverse medical data with novel opportunities to bring precise healthcare with the help of artificial intelligence (AI) associated analytics. Traditional methods of data analysis in medical fields frequently do not describe nonlinear and complex relationships in multimodal clinic...
By B. Senthilkumaran, Gajraj Singh, Ali Bostani, S. Krithika, Zarina Khalbayeva, P. Nanthini
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
EXPLORING THE IMPACT OF INNOVATION ON INDIA'S SCIENTIFIC EQUIPMENT INDUSTRY THROUGH GLOBAL PARTNERSHIPS
The paper discusses the importance of innovation in revolutionizing the scientific equipment market in India with a lot of focus on how it has changed supplier firms and its end consumers particularly the pharmaceutical industry. It underscores the use of new technologies and models of business with regard to improved operational performance and ef...
By Dinakar Lingam, Syed Jaffer
ENHANCING CONSTRUCTION PROJECT MANAGER SELECTION WITH EMOTIONAL INTELLIGENCE ASSESSMENT
Construction project managers have traditionally been chosen based on technical competence and experience, and little emphasis has been placed on emotional intelligence (EI), which plays an important part in the management of high-pressure environments, stakeholder relationships and conflict. The paper builds a contextual EI testing instrument base...
By Mohd Nasrun bin Mohd Nawi, Norhidayah Tamrin, Abdul Ghafur Hanafi, Mohd Faizal Omar, Mohd Kamarul Irwan Abdul Rahim, Faizatul Akmar Abdul Nifa
ARTIFICIAL INTELLIGENCE–EMPOWERED DIGITAL TWINS FOR SIMULATION-DRIVEN SECURITY, PRIVACY, AND RESILIENCY OPTIMIZATION IN 6G NETWORKS
The wireless networks of the sixth generation (6G) are likely to be an AI-native, highly dynamic, and ultra-dense communication eco-system, where the question of security, privacy and resiliency is much more complicated to address than in other generations. Conventional static and prescriptive network management tools cannot scale, be heterogeneous...
By P. Senthilkumar, V. Sheela, G.D. Praveenkumar, Ali Bostani, Nazokat Tukhtaeva, M. Nalini, M. Karpagam
GEOTECHNICAL APPROACHES FOR BUILDING EARTHQUAKE-RESILIENT INFRASTRUCTURE IN URBAN ENVIRONMENTS
The seismic nature of the soil in urban spheres is very susceptible to seismic ground failures caused by intricate soil conditions, extensive development, and outdated construction methods. However, structural solutions have always played the most important role in seismic design; growing evidence points to the importance of geotechnical engineerin...
By Jainish Roy, Rajesh Sehgal
ENTREPRENEURIAL MARKETING AND INNOVATION CAPABILITIES IN HIGH TECHNOLOGY STARTUPS IN EMERGING ECONOMIES
Emerging economies have a dynamic and challenging business environment, which requires entrepreneurial marketing and innovation capabilities of the high-tech startups. Such startups are usually faced with issues of lack of resources, regulation and lack of proper infrastructure. In this regard, it is important to combine entrepreneurial marketing p...
By Jainish Roy, Rajesh Sehgal
ENHANCING WORKPLACE SATISFACTION THROUGH AI: MACHINE LEARNING STRATEGIES FOR EMPLOYEE ENGAGEMENT
This study looks into how artificial intelligence (AI), especially machine learning (ML), might improve workplace satisfaction and employee engagement among mid-level IT professionals in Bangalore. The report examines the strategic uses of AI in digital trust systems, employee profiling, and predictive analytics, based on a structured survey of 434...
By Amthul Naseeb, S. Ramesh Babu, Jalaja Anilkumar, Mounica Vallabhaneni, Indumathi, N. Venkatarathnam, S. Mahabub Basha
INNOVATIVE ENERGY STORAGE SOLUTIONS FOR ENHANCING RENEWABLE ENERGY EFFICIENCY
Energy storage has been central in improving the effectiveness and sustainability of renewable energy systems. With the increased penetration of renewable energy sources like solar energy and wind energy, the intermittent nature of these sources prompts a need to consider the incorporation of highly developed storage energy technologies in order to...
By Shinki Katyayani Pandey, Mariyam Ahmed
AN ADVANCED MULTIMODAL AI FRAMEWORK FOR EARLY BRAIN STROKE DETECTION USING HYBRID FEATURE SELECTION, ENSEMBLE MODELS, AND REINFORCEMENT LEARNING
The detection of stroke is vital since any delay in diagnosis may lead to significant disability or the loss of life. The existing predictive models fail to capture stroke symptoms with accuracy because of low complexity, and the ability to be used in the real-time situation in the clinical setting. In the following paper, an AI-based system of ear...
By D. Ushasree, A.V. Praveen Krishna, Ch. Mallikarjuna Rao, D.V. Lalita Parameswari