FORECASTING CONSUMER DEMAND AND ANALYZING THE IMPACT OF SOCIAL MEDIA INFLUENCER MARKETING ON BRAND EQUITY USING ARIMA AND SEM MODELS
Organizations are increasingly using analysis to understand consumer buying habits in order to understand what type of promotional strategies work best for their products. This is due to the fact that digital platforms have a greater influence on a consumer's purchasing decisions. A complete quantitative approach is designed to understand the impac...
By M. Kalaivani, Arasuraja Ganesan, N. Arunfred, V. Aruna
THE ROLE OF DIGITAL TECHNOLOGY IN ARCHIVING ETHNO-TOURISTIC LANDMARKS
Ethno-touristic sites must be conserved to preserve the cultural heritage and historical identity of the people. Documenting these sites is easier with enhanced digital technology, which provides faster and new ways of documenting, conserving, and managing tourism. Digital technology such as 3D scanning, virtual reality (VR), augmented reality (AR)...
By Khayrinisa Yunuskhodjaeva, Umida Almatova, Nodir Karimov, Surayyo Khaydarova, Shakhnoza Jalolova, Akramov Bahodir, Ibragimjan Toshmatov
HOMOGENEITY URBAN CELLULAR AUTOMATA MODEL – FROM REGENERATIVE TO SUSTAINABLE CITIES
Careful control of the structural makeup of urban places is necessary to maintain their distinctive character while advancing sustainability. A successful approach to this problem is striking a balance between homogeneity and variability in order to provide an urban landscape that is both coherent and dynamic. In the past, homogeneity—which i...
By Israa Al-Janabi, Sarmad Jawad, Zahraa Ahmed Al-Mammori, Fatin. H ALaaraji, Doaa Hazim Aziz, Ghadeer H Abbas
RETRIEVAL- AUGMENTED GENERATION TECHNIQUES IN ORACLE APEX IMPROVING CONTEXTUAL RESPONSES IN AI ASSISTANTS
The research focuses on incorporating Retrieval-Augmented Generation (RAG) methods into Oracle APEX to enhance the context, semantics, and accurateness of responses given by AI assistants in enterprise applications. We developed a fully integrated, low-latency RAG system tailored for Oracle’s low-code framework by embedding dense semantic sea...
By Srikanth Reddy Keshireddy
ECONOMIC ANALYSIS OF GREEN BUILDINGS CERTIFICATION SYSTEMS IN EMERGING ECONOMIES
The construction sector has embraced approaches toward sustainability by incorporating green certification frameworks such as IGBC, BREEAM, and LEED. However, the understanding of these systems poses a problem in terms of developing economies along with their economic feasibility within a cost-benefit analysis and ROI perspective over time. This st...
By Sherjon Sherjonov, Ozodbek Nematov, Gulchekhra Razzokova, Gaybullaev Otabek, Maftunaxon Yakubjonova, Dilafruz Karshiboyeva, Kamala Kodirova, Dilfuza Abdullayeva
AN ECONOMIC ANALYSIS TO DETERMINE THE CONSUMPTION RATE OF IRAQI CITIZENS FROM LIVESTOCK PRODUCTION IN 2024 (EXCLUDING THE KURDISTAN REGION)
Food security priorities in the nations focus on elements of production of fishes and animals which are crucial elements in the food chains of life. Other countries of the world make every effort to secure the availability of these goods to their citizens and this is achieved by either manufacturing them locally, or in cases where they have no capa...
By Majid Abed Hamza, Isam Abdul Khudhur Saud, Raad Idan Obaid
HEALTHCARE DATA EXCHANGE IN THE ERA OF BLOCKCHAIN AND AI: A SURVEY ON METHODS, CHALLENGES, AND ARCHITECTURES
Background: Interoperability, privacy, and the background of healthcare information are significant issues in the healthcare industry, mainly because of the fragmentation of the data. Conventional solutions are not secure, transparent, and accurate enough to share data effectively. Purpose: The purpose of the study is to examine how blockchain and ...
By K. Deepthika, Dr. I. Bhuvaneshwarri
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
CONTEXT-AWARE RULE-BASED MATH EXPRESSION NORMALISER AND VERBALIZER USING LATEX2TEXT FOR ENHANCED DOCUMENT PREPROCESSING
Blind students usually are subjected to a substantial impediment of reading and accessing electronic documents, especially data that are noisy and those that are carefully designed. Traditional NLP models severely underestimate or misinterpret mathematical expressions in which symbols are represented as notation. It is a critical problem in the edu...
By J. Joice, C. Sathya