EXPLORING THE IMPACT OF AI-DRIVEN TALENT MANAGEMENT MODELS ON EMPLOYEE RETENTION IN INDIAN IT COMPANIES
Job dissatisfaction, lack of career growth and talent pool are also a problem in employee retention in the Indian IT industry. Traditional talent management practices fail to address the dynamic employee needs, which disengages employees, resulting in an increase in turnover cases. The paper focuses on the influence of AI-based talent management mo...
By Jagan Mohan, Arup Kumar Halder
A PMI-DRIVEN APPROACH WITH CONVENTIONAL BERT FOR OPTIMIZING TEXT SUMMARIZATION
Text summarization plays a crucial role in natural language processing by condensing large volumes of textual information into concise and meaningful summaries. With the rapid growth of digital content, existing summarization approaches often struggle to balance contextual understanding and semantic relevance. This paper presents a PMI-driven BERT-...
By R. Ramesh, N. Subalakshmi, S. Selvarani, K. Kavitha, M. Jeyakarthic
MODELS OF CONTEPMPORARY GEODYNAMIC PROCESSES ON THE RIM OF THE SARAJEVO DEPRESSION
The rim of the Sarajevo depression was exposed to a strong construction expansion, which was not followed by spatial planning documentation. This work presents models of modern geodynamic processes, which are mainly caused by technogenic effects. The characteristics of these processes mainly depend on the morphological properties of the terrain, ge...
By Aco Goljanin, Amel Demirović, Maida Žiko
SEPARATED GEOTECHNICAL ENVIRONMENTS DURING THE RESEARCH OF THE TERRAIN AT THE LOCATION PLANNED FOR THE CONSTRUCTION OF THE SILOS IN KOZLUK NEAR ZVORNIK
The construction of high-rise objects in solid rocks characterized by frequent changes in its vertical profile requires a more detailed study of lithological layers, tectonic characteristics and analysis of physical and mechanical parameters. Layers of different strength and characteristics in all elements make it possible to separate it by geologi...
By Neđo Đurić, Dijana Djuric
ANALYSIS OF OCCUPATIONAL INJURIES IN AN IRON ORE MINE IN BOSNIA AND HERZEGOVINA IN THE PERIOD FROM 2002 TO 2021
By designing protection measures, the occupational safety system should provide the best possible working conditions for all employees in every economic activity, including in mining production. The analysis of occupational injuries in a certain period of time should enable the collection of data on certain etiological specificities of injuries and...
By Biljana Vranješ, Mile Vajkić, Ljubica Figun, Dragan Adamović, Evica Jovanović
INNOVATIVE APPROACHES TO CONTROLLING IN AGRIBUSINESS: THE ROLE OF QUALITY MANAGEMENT SYSTEMS IN SUSTAINABLE PRODUCTION PRACTICES
Quality Management Systems (QMS) are increasingly the method of agribusiness addressing consumer demand for quality and transparency. These systems also play a crucial role in ensuring sustainable production, particularly in the face of climate change and regulatory pressures. The need to improve efficiencies in controlling production is becoming i...
By Olena Smihunova, Ihor Bohdaniuk, Yevheniya Polyakova, Artur Yehiozarian
GROUNDWATER MANAGEMENT: INTEGRATING GEOLOGICAL AND HYDROLOGICAL DATA FOR EFFECTIVE DECISION MAKING
The most valuable natural resource for all of humanity, not just for a state or nation, is water. A country's ability to prosper largely rests on how wisely it uses this resource. Thus, water, which flows in rivers and streams, can be said to be a nation's primary asset. This proves rivers are important, and further justification is needed to empha...
By Satish Radhakrishnan, R. Velanganni, Prabakaran Paranthaman
ARTIFICIAL INTELLIGENCE FOR OPTIMIZED WELL CONTROL AND MANAGEMENT IN SUBSURFACE MODELS WITH UNPREDICTABLE GEOLOGY
A comprehensive control policy structure utilizing Artificial Intelligence (AI) is presented for closed-loop management in subsurface models. Conventional Closed-Loop Optimisation (CLO) approaches entail the iterative implementation of information assimilation, past synchronization details, and effective optimizing procedures. Information assimilat...
By S. Subbaiah, R. Agusthiyar, M. Kavitha, V.P. Muthukumar
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
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