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Machine learning integrated graphene oxide‐based diagnostics, drug delivery, analytical approaches to empower cancer diagnosis
Abstract Machine learning (ML) and nanotechnology interfacing are exploring opportunities
for cancer treatment strategies. To improve cancer therapy, this article investigates the …
for cancer treatment strategies. To improve cancer therapy, this article investigates the …
Deep-IDS: A Real-Time Intrusion Detector for IoT Nodes Using Deep Learning
The Internet of Things (IoT) represents a swiftly expanding sector that is pivotal in driving the
innovation of today's smart services. However, the inherent resource-constrained nature of …
innovation of today's smart services. However, the inherent resource-constrained nature of …
Knowledge distillation model for Acute Lymphoblastic Leukemia Detection: Exploring the impact of nesterov-accelerated adaptive moment estimation optimizer
Acute lymphoblastic leukemia (ALL) is a malignancy that primarily affects the bone marrow
and bloodstream, characterized by the rapid proliferation of immature lymphoblasts. In the …
and bloodstream, characterized by the rapid proliferation of immature lymphoblasts. In the …
Design and development of artificial intelligence‐based application programming interface for early detection and diagnosis of colorectal cancer from wireless capsule …
J Selvaraj, AK Jayanthy - International Journal of Imaging …, 2024 - Wiley Online Library
The colorectal cancer (CRC) is gaining attention in the context of gastrointestinal tract
diseases as it ranks third among the most prevalent type of cancer. The early diagnosis of …
diseases as it ranks third among the most prevalent type of cancer. The early diagnosis of …
Prediction of tuberculosis from lung tissue images of diversity outbred mice using jump knowledge based cell graph neural network
Tuberculosis (TB), primarily affecting the lungs, is caused by the bacterium Mycobacterium
tuberculosis and poses a significant health risk. Detecting acid-fast bacilli (AFB) in stained …
tuberculosis and poses a significant health risk. Detecting acid-fast bacilli (AFB) in stained …
A novel ids with a dynamic access control algorithm to detect and defend intrusion at IoT nodes
The Internet of Things (IoT) is the underlying technology that has enabled connecting daily
apparatus to the Internet and enjoying the facilities of smart services. IoT marketing is …
apparatus to the Internet and enjoying the facilities of smart services. IoT marketing is …
[HTML][HTML] Edge-cloud synergy for AI-enhanced sensor network data: A real-time predictive maintenance framework
Sensor networks generate vast amounts of data in real-time, which challenges existing
predictive maintenance frameworks due to high latency, energy consumption, and …
predictive maintenance frameworks due to high latency, energy consumption, and …
[HTML][HTML] Analyzing the performance of a bio-sensor integrated improved blended learning model for accurate pneumonia prediction
Pneumonia has been considered a life-threatening disease for elderly human beings and
those with weakened immune systems in the present medical era. The contemporary …
those with weakened immune systems in the present medical era. The contemporary …
FocalNeXt: A ConvNeXt augmented FocalNet architecture for lung cancer classification from CT-scan images
Early and accurate diagnosis of lung cancer, a life-threatening disease, is critical to the
successful treatment of patients with the disease. On the other hand, it is well known that the …
successful treatment of patients with the disease. On the other hand, it is well known that the …
[HTML][HTML] A sco** review of deep learning approaches for lung cancer detection using chest radiographs and computed tomography scans
MN Nguyen - Biomedical Engineering Advances, 2024 - Elsevier
Lung cancer remains the most lethal cancer, primarily due to late diagnoses. Thus, early
detection of lung cancer is critical to improving patient outcomes. While conventional …
detection of lung cancer is critical to improving patient outcomes. While conventional …