Publications by authors named "D N Sah"

Article Synopsis
  • Glaucoma is a progressive eye disease that can lead to permanent blindness, and the paper discusses a new automated diagnosis model that helps doctors quickly classify images as either showing glaucoma or being healthy.
  • The model uses an innovative learning technique called fast discrete curvelet transform with wrapping (FDCT-WRP) to extract features from images, combined with principal component and linear discriminant analyses to streamline the data.
  • The proposed classification algorithm, which merges modified pelican optimization with extreme learning machine (MOD-POA+ELM), demonstrated high accuracy rates of 93.25% and 96.75% on two standard datasets, while also employing various Explainable AI methods to ensure transparency in the diagnosis.
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Twin pregnancy is considered high-risk pregnancy because of its various effects on maternal and fetal physiology. Twin pregnancy can be dizygotic or monozygotic, the latter being less common. Depending upon the period of separation of an embryo, monozygotic twins can share amniotic cavity and placenta with the monochorionic monoamniotic form being the least common type.

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Wireless sensor networks (WSNs) are structured for monitoring an area with distributed sensors and built-in batteries. However, most of their battery energy is consumed during the data transmission process. In recent years, several methodologies, like routing optimization, topology control, and sleep scheduling algorithms, have been introduced to improve the energy efficiency of WSNs.

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The escalation of heavy metal pollutants in soils and effluents, driven by industrialization and human activities, poses significant environmental and health risks. Conventional remediation methods are often costly and ineffective, prompting a shift towards sustainable alternatives such as biological treatments. Natural biosorbents, including microbial cells and their byproducts, have emerged as promising solutions.

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Pain is one of the most common symptoms in patients with cancer. Pain not only negatively affects the quality of life of patients with cancer, but it has also been associated with reduced survival. Pain management is therefore a critical component of cancer care.

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