Journal of Science Engineering Technology and Management Science

The sustainability of road infrastructure in coastal zones, particularly in the Godavari region of Andhra Pradesh, is critical for supporting economic activities and efficient cargo transportation. However, these coastal areas face unique challenges including high salinity, waterlogging, soil erosion, weak subgrade conditions, and frequent exposure to cyclones and tidal surges. These environmental and geotechnical constraints significantly deteriorate road conditions, leading to reduced lifespan, frequent maintenance needs, and disruptions in logistics. Consequently, cargo transportation suffers from increased delays, higher fuel and vehicle maintenance costs, and loss of perishable goods, thereby impacting regional trade and economic stability. This paper explores the relationship between coastal road sustainability and cargo movement efficiency, highlighting key threats and proposing adaptive strategies such as the use of geosynthetics, soil stabilization, climateresilient materials, and improved drainage systems. Enhancing the resilience of coastal road networks is essential for ensuring uninterrupted cargo flow, economic resilience, and long-term infrastructural sustainability in vulnerable coastal regions

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Author : Palnati Srinivasa Reddy,Dr.K.Sreekar Chand

Title : SUSTAINABILITY OF ROADS IN COASTAL ZONES EFFECTS CARGO TRANSPORTATION

Volume/Issue : 2025;02(07)

Page No : 1-18

Efficient road connectivity to international airports is critical for ensuring seamless passenger mobility, effective cargo logistics, and enhanced regional economic integration. In India, where air traffic has surged in recent decades, the accessibility of airports through road networks plays a vital role in determining their operational efficiency and competitiveness. This study reviews the road infrastructure and connectivity patterns associated with major international airports across different parts of India, including Delhi, Mumbai, Hyderabad, Chennai, Bengaluru, and emerging Tier-2 hubs. The analysis reveals significant disparities in road access quality, congestion levels, last-mile connectivity, and integration with other transport modes. While metro cities benefit from expressways and ring roads, many airports still face challenges such as traffic congestion, poor road maintenance, and inadequate public transport integration. The findings underscore the importance of sustainable road development, intelligent transport systems (ITS), and multimodal planning to enhance airport accessibility

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Author : Sravan Chinamilli,Dr.K.Sreekar Chand

Title : ROAD CONNECTIVITY TO INTERNATIONAL AIRPORTS IN VARIOUS PARTS OF INDIA

Volume/Issue : 2025;02(07)

Page No : 19-37

The appropriate execution of data science and extensive data analysis has emerged as a critical element for acquiring valuable insights and fostering innovation across diverse sectors in this age, marked by the ubiquitous nature of data. This research thoroughly examines the strategies and protocols necessary to maximize the potential of these revolutionary technologies. The objective of the study is to establish a comprehensive framework for organizations to leverage their data assets, achieved through an analysis of the fundamental concepts of data science and the challenges associated with big data. A variety of sophisticated analytical techniques, such as machine learning, predictive modeling, and natural language processing, are being explored as potential enhancements to the decision-making process within this research. The significance of data governance, quality, and the ethical implications surrounding data utilization are also addressed in this document. This study illustrates that data-driven insights can yield strategic advantages, operational efficiencies, and the creation of innovative products and services through several case studies and practical examples. According to the findings, it is essential for organizations to foster a culture of data literacy and establish a strong infrastructure to fully capitalize on the opportunities presented by data science and extensive data analysis. At the conclusion of the study, a compilation of best practices and recommendations for organizations and governments is provided to facilitate the development of a data-driven environment that promotes innovation and responsible data usage. In light of this study's findings, it is evident that data science and extensive data analysis require a more holistic approach, one that reconciles technological capabilities, organizational preparedness, and societal impact.

Keywords : Data Science, Big Data Analytics, Machine Learning, Predictive Modeling, Natural Language Processing, Data Governance, Data Quality, Data-Driven Decision Making, Data Literacy, Data Infrastructure, Data-Driven Innovation, Ethical Considerations, Strategic Advantage

Author : Dr. Sateesh Nagavarapu, Dr.J Gladson Maria Britto, N.Pavan, D. Kranthi Deep

Title : Executing Data Science and Big Data Analysis to Their Maximum Capacity: Strategies for Acquiring Valuable Insights and Fostering Data-Informed Innovation

Volume/Issue : 2025;02(07)

Page No : 38-48

Human emotion recognition has emerged as a critical component in the development of intelligent systems capable of understanding and responding to human emotional states. This comprehensive review examines the latest novel deep learning methods for emotion recognition, encompassing advances in neural architectures, multimodal fusion techniques, and innovative approaches to feature extraction and classification. The field has witnessed remarkable progress through the integration of sophisticated deep learning models including convolutional neural networks (CNNs), long short-term memory networks (LSTMs), transformer architectures, and generative adversarial networks (GANs). Recent breakthroughs have demonstrated exceptional performance improvements, with some methods achieving over 99% accuracy on benchmark datasets such as DEAP, SEED, and MAHNOB-HCI. This review analyzes the evolution from traditional machine learning approaches to state-of-the-art deep learning methodologies, examining their effectiveness across various modalities including electroencephalography (EEG), facial expressions, speech, and physiological signals. The paper provides a systematic analysis of fusion strategies, architectural innovations, and performance metrics while identifying key challenges and future research directions in the rapidly evolving landscape of emotion recognition technology.

Keywords : emotion recognition, deep learning, neural networks, multimodal fusion, transformer architectures, electroencephalography, artificial intelligence

Author : Ms. Barkha Sain, Dr. Bajrang Lal, Dr. Kalpana

Title : Novel Deep Learning Methods for Identifying Human Emotions: A Comprehensive Review

Volume/Issue : 2025;02(07)

Page No : 49-60

In every department of HRM, the pillar hrd is determining the training requirements of the workforce and meeting those need the term training and development needs refers to the gap that exists between the capabilities of the current-workforce and the upgrading the skills of that are necessary for them to properly carry out their responsibilities when these needs are acknowledged it guarantees that the on job/ off job efforts will be targeted relevant and in line with the objectives of both the person and the organisation organisations function, in contexts that are always changing characterised by the introduction of new technologies the evolution of work roles and the intensification of competition-employees are required to continually improve their abilities in order to maintain their level of competence among the most common training. The requirements are the strengthening of technical abilities the org-development of soft skills such as communication leadership and collaboration compliance with industry standards and the adaptation to new technologies or procedures

Keywords : Recruiting & selection Human resource management (HRM), Employee relations, Training And Development, Performance Management

Author : J Nikhil, Dr. M. Naga Bhaskar

Title : A STUDY ON “TRAINING NEEDS OF EMPLOYEES IN ORGANIZATION-HCL HYDERABAD

Volume/Issue : 2025;02(07)

Page No : 61-68

This study explores the employee welfare measures implemented at Dr. Reddy's Laboratories, a leading multinational pharmaceutical company. Employee welfare encompasses a wide range of services, benefits, and facilities provided by employers to ensure the well-being of their staff, which in turn enhances job satisfaction and productivity. The objective of this project is to examine the various welfare schemes available at Dr. Reddy's Laboratories, their effectiveness, and the impact they have on employee morale and organizational performance. Data for this study is collected through a combination of primary and secondary sources, including employee surveys, interviews with HR personnel, and analysis of company reports. The findings reveal that Dr. Reddy's Laboratories places a strong emphasis on holistic employee welfare, offering comprehensive health benefits, wellness programs, career development opportunities, and a supportive work environment. The company's commitment to employee welfare has resulted in high levels of employee satisfaction, reduced turnover rates, and improved overall performance. This project highlights the importance of robust employee welfare programs in fostering a motivated and loyal workforce. It also provides recommendations for further enhancing welfare measures to align with evolving employee needs and expectations

Keywords : Employee Welfare, Turnover rates, Welfare Schemes, Employee Morale, Employee Satisfaction

Author : Sai Nikitha kasthuri, Dr. M. Naga Bhaskar

Title : A STUDY ON EMPLOYEE WELFARE MEASURES AT DR. REDDY’S LABORATORIES -HYDERABAD

Volume/Issue : 2025;02(07)

Page No : 69-82

This study aims to analyze the level of customer satisfaction at ICICI Bank, one of India’s leading private sector banks. It examines various factors influencing customer satisfaction, including service quality, responsiveness, convenience, and technology adoption. The research employs a structured questionnaire distributed to a diverse group of customers to gather primary data. The findings highlight key strengths and areas for improvement, providing insights into customer expectations and perceptions. The study also explores the impact of digital banking services on customer satisfaction. The results can help ICICI Bank enhance its service delivery and customer relationship management strategies to maintain competitive advantage and ensure long-term customer loyalty

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Author : Pamula Yaswanth, Dr .M. Nagabhaskar

Title : A STUDY ON CONSUMER SATISFACTION OF ICICI BANK , KUKATPALLY BRANCH ,HYDERABAD

Volume/Issue : 2025;02(07)

Page No : 83-95