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

The rim of the Sarajevo depression was exposed to a strong construction expansion, which was not followed by spatial planning documentation. This work presents models of modern geodynamic processes, which are mainly caused by technogenic effects. The characteristics of these processes mainly depend on the morphological properties of the terrain, ge...

By Aco Goljanin, Amel Demirović, Maida Žiko

The construction of high-rise objects in solid rocks characterized by frequent changes in its vertical profile requires a more detailed study of lithological layers, tectonic characteristics and analysis of physical and mechanical parameters. Layers of different strength and characteristics in all elements make it possible to separate it by geologi...

By Neđo Đurić, Dijana Djuric

Quality Management Systems (QMS) are increasingly the method of agribusiness addressing consumer demand for quality and transparency. These systems also play a crucial role in ensuring sustainable production, particularly in the face of climate change and regulatory pressures. The need to improve efficiencies in controlling production is becoming i...

By Olena Smihunova, Ihor Bohdaniuk, Yevheniya Polyakova, Artur Yehiozarian

In the telecom sector, which generates vast amounts of data daily due to its extensive client base, retaining present customers is more cost-effective than attaining new ones. Business analysts and CRM specialists must comprehend the reasons behind customer churn and identify behavioral patterns within client data. This study develops a churn forec...

By N. Rakesh, B.A. Mohan, U. Kumaran, G.L. Prakash, Rajakumar Arul, Kalaipriyan Thirugnanasambandam