Given the complexity and multifaceted nature of the financial markets, effective aggregation of financial time series data underscores the optimization of predictive modeling in the finance industry. This research presents an innovative approach to clustering using auto encoders designed to distill informative representations out of S&P 500 fin...

By M. Sravan Kumar Reddy, C. Supraja

Objective: Manual dexterity is the capacity to move the fingers and hands in a coordinated way to grasp and manipulate things. It depends on the interaction of musculoskeletal and neurological systems to make precise and intentional motions. The study's main goal is to compare the traditional Nine Hole Peg Test with a stopwatch with the dmS-NHPT wi...

By D. Mythili, K. Narayanasamy, V. Balchandar, K. Kotteeswaran, S. Kalpana

Uzbekistan is a country in the post-colonial environment of Central Asia, which has undergone a stage of rigid isolationism before passing to the stage of authoritarian modernization. This article examines how social movements have been changing to affect policy change in this particular geopolitical region. However, the traditional position regard...

By Mirkomil Gudalov, Nemat Kushvaktov, Dilrabo Quvvatova, Elvina Azimova, Nafisa Samatova, Aynur Yeshmuratova, Rustamjon Khudayberdiyev, Umida Usmonova

The paper introduces a strategic management model called the EDU-OPT Model, which will help to improve the resilience of the operations of educational organizations and their financial sustainability, especially in a developing economy like Uzbekistan. The model utilizes the concepts of the Dynamic Stochastic General Equilibrium (DSGE) modeling whi...

By Sardorbek Isroilov, Kodirov Zokhid Zokirkhanovich, Akbarov Chingiz Adkhamjanovich, Sobirjonov Khumoyun Boburjon Ugli, Khusainov Ilyos Jamoliddin ugli

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

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

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

The stability of slope in unsaturated low plasticity soils is also a major issue particularly in areas where the level of water changes. This paper looks into how the Barcelona Basic Model (BBM) applies to the evaluation of the stability of a real slope that consists of low plasticity silt in the Chilca region, Peru. There was a complete characteri...

By Luis Roberto Valderrama Moscoso, Juan Antonio Gaona Rojas, Neicer Campos Vasquez, Enzo Luigui Pacahuala Rojas, Ruben Kevin Manturano Chipana

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

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