INTEGRATION OF IOT IN SMART BUILDING SYSTEMS FOR SUSTAINABLE URBAN DEVELOPMENT
The rapid growth of urban populations has exacerbated energy waste, resource inefficiency, and environmental degradation in contemporary cities, necessitating crucial, smart building solutions. This paper examines the incorporation of the Internet of Things (IoT) in intelligent buildings to facilitate sustainable urban development. The study helps ...
By Dawakit Lepcha, Kanchan Thakur
NEXT-GENERATION SMART TRAFFIC MANAGEMENT SYSTEMS FOR REDUCING CONGESTION IN INDIAN METRO CITIES
In fast-developing Indian cities, congestion is a significant concern, as travel times are much longer, the environment is negatively affected, and infrastructure is overstretched. Conventional traffic management systems tend to be ineffective at addressing such problems because they rely on fixed traffic lights and lack data inputs. This paper pre...
By Anjali Goswami, Anjali Krushna Kadao
INTERSECTION OF PHILOLOGY AND SOCIOLOGY IN ANALYZING THE LINGUISTIC LANDSCAPE OF POSTCOLONIAL NATIONS
The paper delves into the query of how philology and sociology intersect when it comes to studying the linguistic terrain of postcolonial countries. The paper will explore the functionality of language in the public spaces as a symbol of power, identity, and resistance in postcolonial settings, with a specific emphasis on the linguistic signs in th...
By Sirojiddin Nurmatov, Dildora Mamaraimova, Nargiza Akhmedova, Gullolahon Mehmonaliyeva, Mehrinoza Alieva, Feruza Shukurova, Sarvinoz Qodirova, Nilufar Abdullayeva
AN ECOLOGICAL FRAMEWORK OF STUDENT RESILIENCE IN THE POST-PANDEMIC CONTEXT
The paper examines the impact of online communities, learning environment, family harmony, and health habits, and their effects on student resilience and work-life balance in post-pandemic Kerala. It also studies the mediation effect of resilience between these factors and academic adaptability, as well as well-being. A mixed-method sequential desi...
By Bobby Pudukaden, A. Martin Jayaraj
METARFM: A META-LEARNING FRAMEWORK FOR THE ADAPTIVE SELECTION OF RFM MODEL ARIANTS IN CUSTOMER SEGMENTATION
The Recency-Frequency-Monetary (RFM) model is a widely used method for customer segmentation, but its effectiveness depends on selecting the appropriate variant (e.g., weighted or entropy-based) for a given dataset. This selection process is typically manual and task-specific, leading to inconsistent results and limited generalizability. To address...
By F. Mary Magdalene Jane, V. Pream Sudha, S. Saranya, P. Usha, V. Santhana Lakshmi, S.R. Kalaiselvi
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
THE ROLE OF DIGITAL TOOLS AND BIM IN SHAPING FUTURE EDUCATION IN ARCHITECTURE AND CONSTRUCTION MANAGEMENT
The combination of digital tools and Building Information Modeling (BIM) is an innovative force in the field of architecture and construction management studies. These technologies offer the students a more practical and engaging learning experience, which is more reflective of the practices in the industry. Through the integration of BIM and other...
By Zafar Matniyazov, Zilola Rakhmatillaeva, Mirkomil Gudalov, Tolqin Irgashev, Munira Umarova, Khusniddin Ruziyev, Sevara Berdimurotova, Gulnoz Murotova
ANALYZING THE INFLUENCE OF BEHAVIORAL ECONOMICS ON CONSUMER DECISION-MAKING IN SUSTAINABLE PRODUCT MARKETS
The paper discusses the application of behavioral economics in consumer decision-making in the sustainable product market. Behavioral economics is contrasted to the traditional economic theory, which assumes rationality of choices based on the maximization of utility, where behavioral factors, including psychological biases, social norms, and emoti...
By Arasuraja Ganesan, R. Velanganni, Vijayakanthan Selvaraj, M. Rajapriya
BIO-INSPIRED ADAPTIVE ANOMALY DETECTION IN IOT USING ARTIFICIAL IMMUNE SYSTEMS AND DYNAMIC DETECTOR SELECTION
The rapid growth of the Internet of Things (IoT) brings new options to innovative healthcare, transportation, and industrial systems. However, this expansion also increases cyber threats to these infrastructures. Standard anomaly detection systems use fixed machine learning models. Such models require frequent retraining and are not very sensitive ...
By Ashraf Thaker Mahmood, Qais Rashid Ibrahim
INTEGRATING SUSTAINABLE PRACTICES AND AUTOMATION IN MINING ENGINEERING EDUCATION FOR THE MODERN ERA
Sustainable practice and automation in the field of mining engineering are becoming a fundamental component of educating the future engineers to respond to the challenges facing a changing mining industry. As mining operators are increasingly being pressured to utilize more environmentally sustainable practices and to adopt new automation technolog...
By Kamala Kodirova, Ozodbek Nematov, Anastasia Seitasmanova, Sarvinoz Qodirova, Feruza Sapaeva, Fotima Babajanova, Bakhtiyor Polvonov, Abduraim Adilov