ANALYSIS OF SAMARKAND’S REGISTAN SQUARE AS A MASTERPIECE OF ISLAMIC ARCHITECTURE
Samarkand's Registan Square is among the greatest Islamic architectural achievements, symbolizing the architectural and cultural victory of the Timurid dynasty. The Registan Square, being the architectural and cultural hub of Samarkand, consists of three colossal madrasahs of Ulugh Beg, Sher-Dor, and Tilya-Kori symbolizing the splendor of beauty an...
By Nodira Nurullayeva, Dadaxon Abdullayev, Dilnoza Kulboyeva, Abdurahim Mannonov, Gulbahor Eshbekova, Kamola Fuzailova, Odiljon Boynazarov
IOT POWERED SMART CRADLE FOR INFANT CARE AND VACCINATION MONITORING SYSTEM
As healthcare technology advances, there is growing enthusiasm for the Internet of Things (IoT), particularly in the era of baby health. To monitor and enhance baby health through ongoing data gathering efforts and health management features, this article presents a smart crib which integrates with Internet of Things technology. The temperature, mo...
By Sivasangari Ayyappan
AUTOMATED ESSAY EVALUATION SYSTEMS FOR SCIENTIFIC WRITING IN ENGINEERING EDUCATION
Despite the importance of scientific writing for engineering students, the technical discourse poses a significant challenge for learners. The promise of Automated Essay Evaluation (AEE) Systems to provide timely and reliable feedback has enabled greater development of writing instruction through expedited and automated support. This paper examines...
By Izzatbek Rejapov, Abdurahim Mannonov, Gavharxon Saydaliyeva, Gaybullaev Otabek, Sherzod Djabbarov, Dilnoza Ziyoyeva, Ulugbek Eshkuvvatov, Nargiza Mannapova
HIGH-SPEED HARDWARE EDGE DETECTION IMPLEMENTATION ON FPGA USING PIPELINED SOBEL AND CANNY ALGORITHMS
Edge detection is a critical image processing operation and is a core aspect of feature extraction as well as object identification. In this paper, we introduce an uncomplicated pipelined hardware architecture for Sobel edge detection and Canny edge detection on an FPGA for comparing their edge detection performance, on-chip power, and resource usa...
By Ancy Joy, Jisha Jacob, Basil Roy
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
OTSU AND KAPUR ENTROPY BASED OPTIMAL MULTILEVEL IMAGE THRESHOLDING USING JAYA AND STOCHASTIC FRACTAL SEARCH ALGORITHMS FOR ENHANCED IMAGE SEGMENTATION
Image segmentation plays an important role in medical diagnosis and recognition, but the traditional methods of multilevel thresholding have exponential computation complexity with the number of thresholds. The study corresponds to the necessity to have a computationally effective parameter-free optimization to support fast clinical decision-making...
By S. Anbazhagan, M. Karthika, S. Ramkumar, P. Nammalvar, P. Anbarasan, V. Krishnakumar
ENHANCED U-NET ARCHITECTURE METHOD FOR SEGMENTATION OF BRAIN TUMOR FROM MRI IMAGES
Proper brain tumor segmentation is of great importance in the diagnosis and treatment planning. In this paper, the author presents an EfficientNet-modified U-Net-based system to segment the glioma in the pre-operative MRI scans using the BraTS 2018 dataset. This data consists of four types of MRI (T1, T2, T1Gd, and FLAIR). The model uses the Effici...
By P.A. Monisha, S. Sukumaran, G. Karthikeyan
ARTIFICIAL INTELLIGENCE FOR OPTIMIZING ENERGY SYSTEMS IN SMART GRID ENVIRONMENTS
Smart grids are a major improvement on the conventional electrical grids as they incorporate digital communications, automated control, and sophisticated sensing systems in order to maximize power generation, distribution, and utilization. The paper will examine how Artificial Intelligence (AI) can be used to optimize energy systems in smart grid s...
By Priya Vij, Ashu Nayak
LEVERAGING STRATEGIC MARKETING ANALYTICS TO DRIVE COMPETITIVE ADVANTAGE IN DATA-DRIVEN MARKETS
This research paper examines how the strategic marketing analytics, which combines big data, artificial intelligence (AI), and knowledge management can be used to improve the competitive advantage in data-driven markets. The research tests the effectiveness of AI-driven analytics in enhancing the performance of the market, customer high retention a...
By M. Venith Vijay, Vijayakanthan Selvaraj, R. Muzhumathi, P. Sundara BalaMurugan