Advancements in traditional machine learning techniques for detection and diagnosis of fatal cancer types: Comprehensive review of biomedical imaging datasets
Accurate cancer detection and diagnosis are imperative for advancing patient outcomes and
mitigating mortality rates. This extensive review scrutinizes the progress within the domain of …
mitigating mortality rates. This extensive review scrutinizes the progress within the domain of …
[PDF][PDF] Application of Artificial Intelligence in Project Management
Project management is a complex process that requires careful planning, execution, and
control. Traditional methods often struggle with large datasets, unforeseen challenges, and …
control. Traditional methods often struggle with large datasets, unforeseen challenges, and …
[PDF][PDF] Facilities Layout in Uncertainty Demand and Environmental Requirements by Machine Learning Approach
Facility layout optimization plays a crucial role in manufacturing efficiency and
environmental impact. However, traditional approaches often struggle when dealing with …
environmental impact. However, traditional approaches often struggle when dealing with …
[HTML][HTML] An automated metaheuristic-optimized approach for diagnosing and classifying brain tumors based on a convolutional neural network
Brain tumors must be classified to determine their severity and appropriate therapy. Applying
Artificial Intelligence to medical imaging has enabled remarkable developments. The …
Artificial Intelligence to medical imaging has enabled remarkable developments. The …
[PDF][PDF] Utilization of artificial intelligence in project management
R Parekh, M Olivia - … Journal of Science and Research Archive, 2024 - researchgate.net
Managing projects involves intricate procedures that demand meticulous planning,
execution, and oversight. Conventional methods frequently face difficulties when handling …
execution, and oversight. Conventional methods frequently face difficulties when handling …
An early diagnosis of brain tumor using fused transfer learning
This study aims to develop a system that can classify brain tumors as either benign or
malignant. The dataset used in this study consists of 253 MRI images of the brain. To …
malignant. The dataset used in this study consists of 253 MRI images of the brain. To …
Optimizing the topology of convolutional neural network (CNN) and artificial neural network (ANN) for brain tumor diagnosis (BTD) through MRIs
The use of MRI analysis for BTD and tumor type detection has considerable importance
within the domain of machine vision. Numerous methodologies have been proposed to …
within the domain of machine vision. Numerous methodologies have been proposed to …
Feasibility Study for Lithium Ion Battery Production in Uncertainty Situation
F Shoushtari, C Li - International journal of industrial engineering and …, 2023 - bgsiran.ir
The demand for energy storage systems, particularly lithium-ion batteries, has significantly
increased due to their widespread use in various applications such as electric vehicles …
increased due to their widespread use in various applications such as electric vehicles …
Optimization of Analytical Methods in Industrial Engineering: Enhancing Decision-Making in Process Design and Quality Control
In industrial engineering, analytical methods play a crucial role in optimizing decision-
making processes related to process design and quality control. This paper explores the …
making processes related to process design and quality control. This paper explores the …
Advancing Human-Agent Interaction: Bridging the Gap Between Vision and Reality
The field of Human-Agent Interaction (HAI) has made significant strides in recent years, yet
the gap between the envisioned capabilities of conversational agents and their current state …
the gap between the envisioned capabilities of conversational agents and their current state …