Male infertility: new developments, current challenges, and future directions

M Gül, GI Russo, H Kandil, F Boitrelle… - The World Journal …, 2024 - pmc.ncbi.nlm.nih.gov
There have been many significant scientific advances in the diagnostics and treatment
modalities in the field of male infertility in recent decades. Examples of these include …

[HTML][HTML] A review of different deep learning techniques for sperm fertility prediction

M Suleman, M Ilyas, MIU Lali, HT Rauf… - AIMS Mathematics, 2023 - aimspress.com
Sperm morphology analysis (SMA) is a significant factor in diagnosing male infertility.
Therefore, healthy sperm detection is of great significance in this process. However, the …

A pragmatic ensemble learning approach for rainfall prediction

S Ghosh, MK Gourisaria, B Sahoo, H Das - Discover Internet of Things, 2023 - Springer
Heavy rainfall and precipitation play a massive role in sha** the socio-agricultural
landscape of a country. Being one of the key indicators of climate change, natural disasters …

Pose4gun: a pose-based machine learning approach to detect small firearms from visual media

R Chatterjee, A Chatterjee - Multimedia Tools and Applications, 2024 - Springer
Violence due to firearms is a menace and is growing across the globe. Mostly small firearms
such as pistols and revolvers are used in close proximity for violence in public places. Our …

[HTML][HTML] Semantic analysis and topic modelling of web-scrapped COVID-19 tweet corpora through data mining methodologies

MK Gourisaria, S Chandra, H Das, SS Patra, M Sahni… - Healthcare, 2022 - mdpi.com
The evolution of the coronavirus (COVID-19) disease took a toll on the social, healthcare,
economic, and psychological prosperity of human beings. In the past couple of months …

PneuNetV1: A deep neural network for classification of pneumothorax using CXR images

MK Gourisaria, V Singh, R Chatterjee, SK Panda… - IEEE …, 2023 - ieeexplore.ieee.org
Pneumothorax is a critical medical condition among human-beings. A severe pneumothorax
causes collapsed lungs. It is a life-threatening disease. Therefore, pneumothorax detection …

Classification and analysis of dementia using machine learning algorithms

A Arora, MK Gourisaria… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
Dementia is associated to one of the early phases of fatal diseases such as Huntington's
disease or, in more severe situations, death. It is a chronic and degenerative disease that …

[PDF][PDF] Weed Detection in Soybean Crop Using Deep Neural Network.

V Singh, MK Gourisaria, H GM… - Pertanika Journal of …, 2023 - journals-jd.upm.edu.my
The problematic and undesirable effects of weeds lead to degradation in the quality and
productivity of yields. These unacceptable weeds are close competitors of crops as they …

A Dual Dataset approach for the diagnosis of Hepatitis C Virus using Machine Learning

U Singh, MK Gourisaria… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
Hepatitis C (HCV) is a micro-contagion that leads to liver inflammation, sometimes affecting
the liver to a serious extent. In any medical therapy, proper diagnosis of treatment response …

On the dynamics and feasibility of transferred inference for diagnosis of invasive ductal carcinoma: A perspective

GM Harshvardhan, A Sahu, MK Gourisaria… - IEEE …, 2022 - ieeexplore.ieee.org
It is generally noticed that increasing the number of convolutional layers in generic image
classification procedures proves to be detrimental to model performance in terms of …