MACHINE LEARNING-DRIVEN STRATEGIES FOR CUSTOMER RETENTION AND FINANCIAL IMPROVEMENT
In the telecom sector, which generates vast amounts of data daily due to its extensive client base, retaining present customers is more cost-effective than attaining new ones. Business analysts and CRM specialists must comprehend the reasons behind customer churn and identify behavioral patterns within client data. This study develops a churn forec...
By N. Rakesh, B.A. Mohan, U. Kumaran, G.L. Prakash, Rajakumar Arul, Kalaipriyan Thirugnanasambandam
APPLICATION OF DELIGHTING TO OPTIMIZE WINDOW-TO-WALL RATIO (WWR) IN BUILDINGS IN INDIAN CLIMATIC CONDITIONS
This research focuses on the energy performance of buildings with glass windows to allow daylight in three different locations in India. The utilization of glass in modern commercial buildings is rapidly increasing for aesthetic views and daylighting through the glazing. Much research has been conducted on WWR and daylight integration into the buil...
By Biswajit Biswas, Subhasis Neogi, Biswanath Roy
INTEGRATING ENVIRONMENTAL CONSERVATION AND SUSTAINABILITY INTO COAL MINING EDUCATION
Coal mining education needs to be integrated with environmental conservation and sustainability principles so that a new generation of environmentally responsible mining professionals will be developed. This paper discusses how ecological awareness and sustainable practices need to be taught in educational programs related to coal mining to overcom...
By Rahbar Khalikova, Feruza Jumaeva, Azizbek Nazarov, Mohinur Akmalova, Feruza Umarova, Elbek Botirov, Larisa Khaydarova, Mukaddas Abduraimova
DEVELOPING INFORMATION SYSTEM ON BLACKSPOT SEVERITY FOR TRAVELLERS BY USING PYTHON AND GIS TECHNIQUES
To reduce road traffic accidents, it is mandatory to identify and analyze road network blackspots with a high accident rate. This analysis aims to develop a framework to analyze the severity of blackspots for travelers using the Python programming language. The proposed study uses accident data to identify the black spots. Python programming ...
By Nishant Singh, Sunil Kumar Katiyar
AUTOMATIC SEGMENTATION OF COLON CANCER USING SAM AI
The third most prevalent form of cancer globally in both men and women is colon cancer which affects the digestive tract and occurs in the human body's greater intestine develops from certain polyps are tiisues that grow inside the colon of various sizes which at later stage can develop into a cancer cell. The tissues are taken from colon using bio...
By B. Senthil Kumar, S. Karpagavalli, K. Keerthana, A. Krishnaja
LORAWAN BASED COALMINERS RESCUE AND HEALTH MONITORING SYSTEM USING IOT
The coal mining industry is one of the industries that possess inherent risks since workers are faced with a range of risks that include health risks, the extreme environment, and geology. To address these daunting tasks, we propose the deployment of an Integrated Safety and Monitoring System (ISMS) enhanced with LoRaWAN and IoT gadgets. A wide ran...
By E. Veera Boopathy, M. Shanmugasundaram, N. Shanmuga Vadivu, S. Karthikkumar, R. Diban, P. Hariharan, A. Madhan
ENHANCED TRANSFORMER-BASED DEEP KERNEL FUSED SELF ATTENTION MODEL FOR LUNG NODULE SEGMENTATION AND CLASSIFICATION
Lung cancer remains a leading cause of mortality globally, with outcomes heavily dependent on the timeliness and accuracy of diagnosis. Traditional medical imaging techniques, while foundational in detecting lung nodules, often falter in distinguishing malignant from benign lesions with high precision, largely due to their inability to contextualiz...
By R. Rani Saritha, R. Gunasundari
AN EXAMINATION OF CUTTING-EDGE DESIGN AND CONSTRUCTION METHODS CONCERNING GREEN ARCHITECTURE AND RENEWABLE ENERGY EFFICIENCY FOR TIER-II CITIES OF INDIA
The growing global concern about environmental deterioration and energy consumption has made green architecture and energy efficiency essential in modern construction. To improve energy efficiency, green architecture uses a variety of creative design and construction methods, which are all thoroughly reviewed in this paper. The study explores the i...
By Anshul Jain, K. Ananda Babu
ASSESSMENT OF BLACK SPOTS IN URBAN BHOPAL WITH THE AID OF WEIGHTED SEVERITY INDEX AND KERNAL DENSITY ESTIMATION METHODS
One step toward lowering traffic accidents is identifying the locations of road accident hotspots and the appropriate assessment technique. This study evaluated the effectiveness of kernel density estimation (KDE) and the weighted severity index (WSI) in locating blackspots using the ArcGIS tool. Finding out accident severity levels is necessary to...
By Nishant Singh, Sunil Kumar Katiyar
EXAMINING ENVIRONMENTAL IMPACT THROUGH GEOLOGICAL INTERACTIONS AND EARTH'S LAYERS
Understanding the impact of geological processes on the environment is very important in comprehending Earth's evolving ecosystem and predicting future ecological challenges. This paper reviews how interactions between different Earth layers-the crust and mantle, affect ecological dynamics. Geological interactions, including tectonic shifts, minera...
By Azamat Saidov, Zukhra Yakhshieva, Nodira Makhkamova, Mirkomil Gudalov, Nilufar Djuraeva, Oybek Umirzaqov, Ozoda Adilova, Anvar Juraev