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Male infertility: new developments, current challenges, and future directions
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 …
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
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 …
Therefore, healthy sperm detection is of great significance in this process. However, the …
A pragmatic ensemble learning approach for rainfall prediction
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 …
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 …
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
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 …
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
Pneumothorax is a critical medical condition among human-beings. A severe pneumothorax
causes collapsed lungs. It is a life-threatening disease. Therefore, pneumothorax detection …
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 …
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.
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 …
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 …
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
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 …
classification procedures proves to be detrimental to model performance in terms of …