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
EDUCATIONAL FOUNDATIONS OF AGRICULTURAL TECHNOLOGIES AND THEIR INFLUENCE ON PRECISION AGRICULTURE AND SUSTAINABILITY PRACTICES
Even though agriculture is now one of the most technologically advanced civilian industries, there is still a big gap between the innovations that are available and how they are actually put into practice, particularly in areas where traditional supervision methods are predominant. This study looks at how farmers' ability to implement precision agr...
By Shoira Bobomuratova, Kurbonalijon Zokirov, Najimiddin Jumakulov, G'ofur Allamuratov, Oybek Ulugbekov, Muhabbat Mullajonova, Avazbek Turdunov
IMPLEMENTING AGILE METHODOLOGIES FOR ENHANCING PROJECT MANAGEMENT AND BUSINESS GROWTH IN INDIAN STARTUPS
The Indian startup environment is both volatile and fast-paced, requiring the project management models to be both fast and scalable. Although Agile tools are widely used, most ventures fail to realize the implementation of technical features into business expansion. The crux of the matter is a Hierarchy where a traditional top-down management stru...
By Ashish Kumar Sahu, Shilpi Nishant Tanwani
HORNED LIZARD-CATBOOST FRAMEWORK FOR CYBERBULLYING PREVENTION IN SOCIAL NETWORKS
Cyberbullying are becoming more susceptible to online social networks because of the large-scale usergenerated content. The current methods of detection are primarily post-event methods and lack built-in prevention strategies, thereby limiting their ability to ensure the protection of user privacy and platform security. In this paper, a H...
By N. Sheba Pari, K. Senthil Kumar
HIGH-PERFORMANCE ONE-STAGE BOOSTING PFC CONVERTERS WITH ADVANCED CONTROL FOR ENHANCED POWER QUALITY AND STABILITY
This article introduces an advanced controller technique, as well as a One-Stage Boosting Power Factor Correction (OSBPFC) converter. The proposed approach is oriented towards the creation of more powerful features (PQ), more desirable stability, and adherence to fundamental principles for input interfaces. This technique, which distinguishes it fr...
By M. Devi, S. Lakshmi
A HYBRID MACHINE LEARNING AND DEEP LEARNING ARCHITECTURE FOR AUTOMATED MEDICAL DIAGNOSIS USING HIGH-DIMENSIONAL CLINICAL AND BIOMEDICAL DATA
The speed of the electronic healthcare system, clinical information system, and biomedical sensing technologies has resulted in the creation of extremely huge high-dimensional and heterogeneous medical data. Such data have substantial potential to automatically diagnose diseases, but are difficult to use because they are feature redundant, nonlinea...
By Komal Saxena, M. Praneesh, S. Nancy Lima Christy, K. Nandhini, Tolib Rajabov, M. Nalini, Shalu Gupta
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