Hybrid CNN-LSTM for Predicting Diabetes: A Review
S Soltanizadeh, SS Naghibi - Current Diabetes Reviews, 2024 - ingentaconnect.com
Background: Diabetes is a common and deadly chronic disease caused by high blood
glucose levels that can cause heart problems, neurological damage, and other illnesses …
glucose levels that can cause heart problems, neurological damage, and other illnesses …
Plant disease classification using CNN-LSTM techniques
EA Devi, S Gopi, U Padmavathi… - … on Smart Systems …, 2023 - ieeexplore.ieee.org
Crops have implications for global food security and the agrarian society. Their rapid
recognition and prevention improve the probability of implementing effective interventions …
recognition and prevention improve the probability of implementing effective interventions …
An effective optimized deep learning for emotion classification from EEG signals
S Lokesh, TS Reddy - Signal, Image and Video Processing, 2023 - Springer
Electroencephalography (EEG) signals can be used for emotion recognition (ER), which is
an effective method for determining someone's mental state. However, because an EEG …
an effective method for determining someone's mental state. However, because an EEG …
Deep Learning for Diabetic Retinopathy in Fundus Images
K Rahimi, R Rituraj, D Ecker - 2022 IEEE 22nd International …, 2022 - ieeexplore.ieee.org
Clinically, using fundus pictures for predicting and detecting blind illnesses such as diabetic
retinopathy (DR) is crucial. Deep learning (DL) is becoming a more common and promising …
retinopathy (DR) is crucial. Deep learning (DL) is becoming a more common and promising …
Identification of COVID-19 in CT Images using Deep Learning Model
SG Karuppasamy, S Gowr, M Diwakaran… - … on Computer, Power …, 2022 - ieeexplore.ieee.org
Worldwide, COVID-19 has had a substantial impact on patients and hospital systems. Early
identification and diagnosis are essential for regulating the growth of COVID-19. The input …
identification and diagnosis are essential for regulating the growth of COVID-19. The input …
Augmented Road Safety In India Through Real Time Detection Of Road Hazards
SV Kumar, S Vidhya, PS Ramesh… - Journal of …, 2024 - eudoxuspress.com
Road safety is a critical concern in India, where the prevalence of road hazards, such as
potholes, contributes to numerous accidents and fatalities annually. This paper proposes a …
potholes, contributes to numerous accidents and fatalities annually. This paper proposes a …
Deep Learning For Diabetic Retinopathy In Fundus Images
R Rituraj - engrxiv.org
Clinically, using fundus pictures for predicting and detecting blind illnesses such as diabetic
retinopathy (DR) is crucial. Deep learning (DL) is becoming a more common and promising …
retinopathy (DR) is crucial. Deep learning (DL) is becoming a more common and promising …