SUSTAINABLE CONSTRUCTION AND THE USE OF PREFABRICATED CONCRETE
Given that the construction industry has a significant impact on the environment and consumes large amounts of natural and energy resources, it represents a very important segment in sustainable construction. This paper provides an overview of sustainable building and the application of prefabricated concrete, specifically prefabricated concrete sl...
By Svjetlana Banjac, Saša Papuga, Gordana Broćeta
A NOVEL FRAMEWORK FOR ENHANCING DATA COLLECTION MACRO- STRATEGIES IN HETEROGENEOUS IOT NETWORKS USING ADVANCED MATHEMATICAL MODELING
The explosive growth of Internet of Things (IoT) devices has generated considerable data in diverse networks. This poses serious challenges in collecting timely information and managing frequency resources optimally. In particular, unauthorized access, measurement constraints, and variable channel conditions cause interference, performance degradat...
By Abdolrashid Rezvani, Abbas Mirzaei, Nasser Mikaeilvand, Babak Nouri-moghaddam, Sajjad Jahanbakhsh Gudakahriz
EVALUATING THE EFFECTIVENESS OF PREDICTION TECHNIQUES FOR CYBERATTACKS: A COMPREHESIVE TAXONOMY
The rising threat of cyberattacks in today's society emphasizes the urgent need for improved methods to both detect and prevent these incidents. This paper focuses on assessing the effectiveness of various techniques for predicting cyberattacks. The DTCF taxonomy was proposed for predicting these attacks, considering datasets, techniques, challenge...
By Azhar F. Al-zubidi, Alaa Kadhim Farhan, Abeer Alsadoon
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
INTEGRATED STRATEGIC FINANCIAL AND OPERATIONS MANAGEMENT FOR TECHNOLOGY INTENSIVE MANUFACTURING FIRMS
Manufacturing systems that are technology-intensive have high interdependencies between financial decisions on investments, the change in production capacity, and operational efficiency. Traditional methods tend to look at financial and operational planning in isolation, resulting in poor performance of the system and poor use of resources. In orde...
By Megala Rajendran, Yokubbaeva Umida Abduvakhob kizi, Kosimov Khusniddin Badriddinovich, Ergashev Rasulbek Sokhib ugli, Iplina Antonina Aleksandrovna
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
BUILDING INFORMATION MODELING AND ITS ROLE IN ADVANCING SUSTAINABLE CONSTRUCTION PRACTICES
The global construction industry accounts for approximately 37% of energy-related carbon dioxide emissions and nearly one-third of global waste, necessitating a rapid shift toward sustainable practices. Building Information Modeling (BIM) has become a transition catalyst, going beyond simple 3D visualization that has incorporated environmental inte...
By Deepti Patnaik, Rakshak Bharti
AI FLEXIBLE WORK AND STRATEGIC HRM DRIVING ORGANIZATIONAL PERFORMANCE
The fast development of digital technologies has transformed the organization and work relations, and the process of the digitalization of Human Resource Management (HRM) has become significant in optimizing the performance of the organization. In this paper, I am going to examine how Artificial Intelligence (AI), flexible work environments, and st...
By E. Pavithra, K. Sathishkumar, G. Kowsalya, M. Ramalingam, Pardaev Jamshid, Jyoti Prasad Kalita, S.D. Vijayakumar
RULE-BASED ITERATIVE PREPROCESSING WITH DEEP SIAMESE GRU–BILSTM FOR EFFICIENT DOCUMENT STREAMING
Efficient document streaming requires robust preprocessing and semantic modeling to handle noise, redundancy, and morphological variations in large-scale text data. Existing stemming and document processing techniques often fail to preserve contextual relevance, leading to reduced classification and retrieval performance. In a bid to overcome this ...
By K. Ranjit Kumar, S. Thirumaran
MULTI-OBJECTIVE TOPOLOGY OPTIMIZATION OF 3D PRINTED LATTICE STRUCTURES FOR LIGHTWEIGHT AUTOMOTIVE COMPONENTS
The automotive industry is increasingly focused on developing lightweight, fuel-efficient, and structurally robust components to meet stringent performance and sustainability requirements. Additively manufactured lattice structures have emerged as a promising solution due to their high strength-to-weight ratio, energy absorption capability, and geo...
By Sapna Bawankar, Priya Vij