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
SUPPLY CHAIN INTEGRATION AND CLOUD BASED OPERATIONS MANAGEMENT FOR RESILIENT SMART MANUFACTURING SYSTEMS
The research introduces Cloud-SCIM (Supply Chain Integration and Cloud-Based Operations Management to Resilient Smart Manufacturing) model, which aims to solve the problems of the modern manufacturing system. The model leverages cloud computing, IoT, and AI analytics to harmonize supply chain operations, boosting efficiency, flexibility, and resili...
By Lalit Sachdeva, Utkarsh Anand
DEEP LEARNING-GUIDED GENOMIC PROFILING FOR BRAIN TUMOR SUBTYPING USING HYBRID FEATURE SELECTION AND ENSEMBLE CLASSIFICATION
The problem of brain tumors is a range of different subtypes, which have a variety of clinical forms, and the diagnosis and treatment of tumors is a challenging task. This paper introduces a hybrid deep learning system that combines genomic profiling with MRI image analysis to provide an effective brain tumor subtyping. The framework is initiated b...
By M. Yuvaraja, S. Sureshkumar, J. Dhanasekar, Vilas Namdeo Nitnaware, M. Sowmya, D. Kumar
DYNAMIC IOT FEEDBACK LOOPS IN MULTI-HOP SIGNAL TRANSMISSION PATTERNS FOR ORACLE APEX-BASED MONITORING SYSTEMS
The Internet of Things (IoT) is a rapidly developing industry that currently requires effective monitoring systems to process data in real time and make decisions. In this paper, a new method of multi-hop signal transmission in the IoTs is suggested to be combined with dynamic feedback loops embedded in the Oracle APEX-based monitoring systems. The...
By Srikanth Reddy Keshireddy
PROXIMAL CARIES DETECTION USING YOLOV11 IN NEAR-INFRARED LIGHT TRANSILLUMINATION IMAGES
The study will be conducted to complement the diagnosis of proximal caries lesions that are difficult to improve due to their location between the teeth, as shown in Near-Infrared Light Transillumination (NILT) photographs. It was proposed to enhance caries detection with a semantic segmentation model based on YOLOv11, which is more specific in det...
By Asma Alatawi, Wdaee Alhalabi, Hani Nassar, Arwa Basbrain, Hattan Jamalellail, Mohammed Alsadat