[PDF][PDF] Assessing the impact of private investment in AI and financial globalization on load capacity factor: evidence from United States
The need for sustainable solutions has increased globally as a result of the growing
environmental problems brought about by urbanization and industrialization. Given this …
environmental problems brought about by urbanization and industrialization. Given this …
Optimization of modified adaptive neuro-fuzzy inference system (MANFIS) with artificial bee colony (ABC) algorithm for classification of bone cancer
A Lefteh, M Houshmand… - … Computing and High …, 2022 - ieeexplore.ieee.org
Bone cancer is the uneven progress of tissue in the bone. This illness can be primary or
secondary. Primary bone sarcoma grows from the cells of the bone, while secondary bone …
secondary. Primary bone sarcoma grows from the cells of the bone, while secondary bone …
[PDF][PDF] Advancing Neurological Disease Prediction through Machine Learning Techniques
Late prediction is a major health problem for neurological diseases and early prediction is
essential to advance patient outcomes and allow timely intervention. Machine learning (ML) …
essential to advance patient outcomes and allow timely intervention. Machine learning (ML) …
A Comprehensive Examination of MR Image-Based Brain Tumor Detection via Deep Learning Networks
In diagnostics, accurate and timely identification of brain tumors can influence the outcome
of the patient's treatment plan and prognosis. This research proposes RanMer-Former, a …
of the patient's treatment plan and prognosis. This research proposes RanMer-Former, a …
Health Risks and Disease Transmission in Undocumented Immigrants in the US Using Predictive ML
The main issue is undocumented migration, it presents a significant concern to public health
due to the potential spread of infectious illnesses and overall health risks. Data was …
due to the potential spread of infectious illnesses and overall health risks. Data was …
[PDF][PDF] Precision Lesion Analysis and Classification in Dermatological Imaging through Advanced Convolutional Architectures
In this study, six convolutional neural network (CNN) architectures, VGG16, Inception-v3,
ResNet, MobileNet, NasNet, and EfficientNet are tested on classifying dermatological …
ResNet, MobileNet, NasNet, and EfficientNet are tested on classifying dermatological …
Natural language processing in radiology: update on clinical applications
Radiological reports are a valuable source of information used to guide clinical care and
support research. Organizing and managing this content, however, frequently requires …
support research. Organizing and managing this content, however, frequently requires …
[PDF][PDF] Deep Learning-Based Classification of Skin Lesions: Enhancing Melanoma Detection through Automated Preprocessing and Data Augmentation
Skin cancer of the most dangerous type, melanoma, requires an early and accurate
diagnosis for its treatment to reduce mortality and increase the number of positive outcomes …
diagnosis for its treatment to reduce mortality and increase the number of positive outcomes …
Use of AI-Powered Precision in Machine Learning Models for Real-Time Currency Exchange Rate Forecasting in BRICS Economies
In this paper, we explore the use of different machine learning models on predicting
currency exchange rates among BRICS economies (Brazil, Russia, India, China and South …
currency exchange rates among BRICS economies (Brazil, Russia, India, China and South …
Accelerating BRICS Economic Growth: AI-Driven Data Analytics for Informed Policy and Decision Making
This paper analyzes how the Artificial Intelligence (AI) and Machine Learning (ML) are
bridging the gap between economic growth in the BRICS countries. BRICS countries are …
bridging the gap between economic growth in the BRICS countries. BRICS countries are …