THE HISTORICAL SIGNIFICANCE OF MUD ARCHITECTURE IN ARID REGIONS FOR SUSTAINABILITY AND DURABILITY
Mud architecture has played a crucial role in shaping human settlements in arid regions, offering sustainable and durable solutions for centuries. This study explores the historical evolution of mud architecture, highlighting its adaptability to extreme climatic conditions and its significance in preserving cultural heritage. The paper examines tra...
By Abdurahim Mannonov, Khurshid Samatov, Nilufar Fayzieva, Valisher Sapayev, Dadaxon Abdullayev, Nargiza Ruzmetova, Khafiza Khasanova
AREA-AWARE ADAPTIVE IMAGE COMPRESSION USING DUAL- BACKGROUND CLASSIFICATION FOR OPTIMIZED DATA PRESERVATION AND QUALITY ENHANCEMENT
In the current era of data-intensive applications, including OTT services, IoT, and autonomous systems, efficient image compression is indispensable in order to minimize bandwidth consumption while preserving visual quality. Conventional compression techniques frequently fail to satisfactorily balance compression ratios and the preservation of crit...
By K. Subba Reddy, R. Arshiya
Q-SAFE QUANTUM AI FOR REAL-TIME WOMEN & CHILD SAFETY
As incidents of gendered violence and child abuse increase, there is a need for intelligent, real-time safety systems that autonomously detect distress and initiate emergency action without user activation. Q-SAFE (Quantum AI for Real-Time Women & Child Safety) is an open-source, multi-modal mobile app, utilizing quantum-enhanced machine learni...
By N. Geetha, K. Janani, P. Mathushri, S. Harini, D. Vasantha Mallika
AN EARLY DETECTION OF KAWASAKI DISEASE USING ENHANCED FEATURE SELECTION AND HYBRIDIZATION-BASED CLASSIFICATION APPROACH
Kawasaki disease (KD) is a disease that cause inflammation in blood vessels, impacting kids and causes heart and blood vessel damage. Patients with KD who have medium or big aneurysms, developing coronary dilatation for a minimum of 2 months, are related to the worst late coronary results, which are not widely researched. The primary goal...
By C. Kavitha, A. Subramani
BRIDGING THE GAP BETWEEN KNOWLEDGE MANAGEMENT AND DIGITAL TRANSFORMATION: THE CRITICAL ROLE OF DIGITAL LITERACY, ORGANIZATIONAL CULTURE
This paper explores the connections between knowledge management (KM), digital literacy (DL), organizational culture (OC) and digital transformation (DT). It investigates the role of KM on the usage of DL and OC and how both are interplaying determinants of successful digital change. To examine these relationships, the study conducted a path analys...
By Rehmat Shah, Muhammad Naeem Sarwar, Saba Hanif, Zubair Younas
GEOLOGICAL STRUCTURE AND TOURIST ASPECTS OF THE RELIEF OF CHURVOQ FREE TOURIST ZONE
The Churvoq (Charvak) Free Tourist Zone (FTZ) represents a critical intersection between the complex tectonic landscape of the Western Tien Shan and Uzbekistan’s strategic push for international tourism. This paper examines the dual role of geological relief as both a primary recreational asset and a significant developmental constraint. Util...
By Shahnoza Shomurodova, Sulton Najmiddinov, Iskandar Sharofutdinov, Umida Xaybiyeva, Yusupov Gulboy, Davron Nigmatov, Dilshoda Saydumarova, Nodira Nurullayeva
MITIGATING PROPAGATION FAULTS IN REAL-TIME CONTENT STREAMING FOR LOW-BANDWIDTH LEARNING ENVIRONMENTS
The propagation faults are crippling the real-time streaming of content in learning environments with limited bandwidth, resulting in a small loss of packets that propagate into severe packet synchronization errors. The issue that is dealt with in this research is the preservation of continuity in streams through network conditions with throughput ...
By Ankita Sappa
INFLUENCE OF THE CENTER OF GRAVITY METHODOLOGY ON THE OPTIMIZATION OF A LOGISTICS DISTRIBUTION NETWORK
The center of gravity (COG) approach is crucial in streamlining the logistics distribution channels by reducing transportation expenses and improving performance. This paper discusses the use of the COG method in the identification of the most optimal distribution center locations in a network of logistics. To determine the level of effectiveness o...
By Astrid Chabeli Vereau Benites, Neicer Campos Vasquez
APPLICATION OF HYBRID & NOVEL DEEP LEARNING APPROACHES FOR MULTIMODAL SENTIMENT FUSION IN IMAGES & AUDIO ANALYSIS
The paper suggests a hybrid multimodal sentiment analysis (MSA) model that would enhance the accuracy of sentiment prediction through the combination of textual, auditory, and visual information. In most cases, the traditional sentiment analysis models have been challenged because of numerous overlapping features and poor fusion methods when using ...
By Jayaprakash Vattikundala, M. Siva Ganga Prasad
MARKETING AND INNOVATION MANAGEMENT CAPABILITIES IN SCIENCE AND TECHNOLOGY-BASED ENTERPRISES
The enterprises, which are science and technology-based (STBEs), work in a highly dynamic and knowledge-intensive environment where long-lasting competitiveness is determined by the success in matching innovation and marketing potential. Although these capabilities have been studied separately in previous research, a noticeable lack of empirical re...
By Najmitdinov Akhadkhon Khamitdkhanovich, Sardorbek Isroilov, Ibragimov Ulmas Rakhmanovich, Gofurjanov Ibrokhimjon Ilkhomjon Ugli, Tokhir Khorilov Gaybiddinovich