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Acceleration of Deep Convolutional Neural Networks Using Adaptive Filter Pruning
While convolutional neural networks (CNNs) have achieved remarkable performance on various supervised and unsupervised learning tasks, they typically consist of a massive number of parameters. This results in significant memory...
FALF ConvNets
Obtaining efficient Convolutional Neural Networks (CNNs) are imperative to enable their application for a wide variety of tasks (classification, detection, etc.). While several methods have been proposed to solve this problem...
FALF ConvNets
Obtaining efficient Convolutional Neural Networks (CNNs) are imperative to enable their application for a wide variety of tasks (classification, detection, etc.). While several methods have been proposed to solve this problem...
Deep Learning-Based Stock Market Prediction and Investment Model for Financial Management
This study explores the potential application of deep learning techniques in stock market prediction and investment decision-making. The authors used multi-temporary stock data (MTS) for effective multi-scale feature extraction...
Published by: IGI Global Scientific Publishing
Acceleration of Deep Convolutional Neural Networks Using Adaptive Filter Pruning
While convolutional neural networks (CNNs) have achieved remarkable performance on various supervised and unsupervised learning tasks, they typically consist of a massive number of parameters. This results in significant memory...
Uncertainty Class Activation Map (U-CAM) using Gradient Certainty method
Understanding and explaining deep learning models is an imperative task. Towards this, we propose a method that obtains gradient-based certainty estimates that also provide visual attention maps. Particularly, we solve for...
The Lifetime Earnings Premium in the Public Sector
In a context of widespread concern about budget deficits, it is important to assess whether public sector pay is in line with the private sector. Our paper proposes an estimation of differences in lifetime values of employment...
EDS pooling layer
Convolutional neural networks (CNNs) have been the source of recent breakthroughs in many vision tasks. Feature pooling layers are being widely used in CNNs to reduce the spatial dimensions of the feature maps of the hidden...
GIFSL - grafting based improved few-shot learning
A few-shot learning model generally consists of a feature extraction network and a classification module. In this paper, we propose an approach to improve few-shot image classification performance by increasing the...
EDS pooling layer
Convolutional neural networks (CNNs) have been the source of recent breakthroughs in many vision tasks. Feature pooling layers are being widely used in CNNs to reduce the spatial dimensions of the feature maps of the hidden...
Uncertainty Class Activation Map (U-CAM) using Gradient Certainty method
Understanding and explaining deep learning models is an imperative task. Towards this, we propose a method that obtains gradient-based certainty estimates that also provide visual attention maps. Particularly, we solve for...
Rectification-based Knowledge Retention for Task Incremental Learning
In the task incremental learning problem, deep learning models suffer from catastrophic forgetting of previously seen classes/tasks as they are trained on new classes/tasks. This problem becomes even harder when some of the...
Continual Learning Deep learning Generalized Zero-Shot Classification image classification Task Incremental Learning /dk/atira/pure/subjectarea/asjc/1700/1712 name=Software /dk/atira/pure/subjectarea/asjc/1700/1707 name=Computer Vision and Pattern Recognition /dk/atira/pure/subjectarea/asjc/1700/1703 name=Computational Theory and Mathematics /dk/atira/pure/subjectarea/asjc/1700/1702 name=Artificial Intelligence /dk/atira/pure/subjectarea/asjc/2600/2604 name=Applied Mathematics
Randomised controlled Study comparing Epidural Bupivacaine with Epidural Ropivacaine and Epidural Levobupivacaine in Subumbiical Surgeries for Quality and Duration of Blockade Haemodynamic effects and complications.
The aim of the study was to compare the effects of 0.5% Bupivacaine(isobaric),0.75% Ropivacaine (isobaric) and 0.5% Levobupivacaine(isobaric) for epidural anaesthesia in elective lower abdominal and lower limb surgeries....
Epidural Bupivacaine Epidural Ropivacaine Epidural Levobupivacaine Blockade Haemodynamic effects and complications
Published by: IJHS Medical Association
The Lifetime Earnings Premium in the Public Sector
In a context of widespread concern about budget deficits, it is important to assess whether public sector pay is in line with the private sector. Our paper proposes an estimation of differences in lifetime values of employment...
Clinical Study of Fungal Granulomatous Diseases
Introduction: Fungal Granulomatous disease is characterised by presence of granulomas with multinucleated giant cells and palisiding histiocytes. Aspergillosis is the commonest fungal infection of the nose and sinuses....
Published by: IJHS Medical Association
Optimizing Production Supply Chain With Markov Jump System for Logistics Collaboration
This study employs a novel Markov jump system model to address complexities and uncertainties in modern logistics management, particularly in supply chain logistics information networks. It introduces dynamic memory to tackle...
Published by: IGI Global Scientific Publishing
Probabilistic framework for solving Visual Dialog
In this paper, we propose a probabilistic framework for solving the task of ‘Visual Dialog’. Solving this task requires reasoning and understanding of visual modality, language modality, and common sense knowledge to answer....
Probabilistic framework for solving Visual Dialog
In this paper, we propose a probabilistic framework for solving the task of ‘Visual Dialog’. Solving this task requires reasoning and understanding of visual modality, language modality, and common sense knowledge to answer....
Randomised controlled Study comparing Epidural Bupivacaine with Epidural Ropivacaine and Epidural Levobupivacaine in Subumbiical Surgeries for Quality and Duration of Blockade Haemodynamic effects and complications.
The aim of the study was to compare the effects of 0.5% Bupivacaine(isobaric),0.75% Ropivacaine (isobaric) and 0.5% Levobupivacaine(isobaric) for epidural anaesthesia in elective lower abdominal and lower limb surgeries....
Epidural Bupivacaine Epidural Ropivacaine Epidural Levobupivacaine Blockade Haemodynamic effects and complications
Published by: IJHS Medical Association
Optimizing Supply Chain Management Through BO-CNN-LSTM for Demand Forecasting and Inventory Management
This project addresses demand forecasting and inventory optimization in supply chain management. Traditional methods have limitations with complex demand patterns and large-scale data. Deep learning techniques are employed to...
Published by: IGI Global Scientific Publishing
Clinical Study of Fungal Granulomatous Diseases
Introduction: Fungal Granulomatous disease is characterised by presence of granulomas with multinucleated giant cells and palisiding histiocytes. Aspergillosis is the commonest fungal infection of the nose and sinuses....
Published by: IJHS Medical Association
GIFSL - grafting based improved few-shot learning
A few-shot learning model generally consists of a feature extraction network and a classification module. In this paper, we propose an approach to improve few-shot image classification performance by increasing the...
Rectification-based Knowledge Retention for Task Incremental Learning
In the task incremental learning problem, deep learning models suffer from catastrophic forgetting of previously seen classes/tasks as they are trained on new classes/tasks. This problem becomes even harder when some of the...
Continual Learning Deep learning Generalized Zero-Shot Classification image classification Task Incremental Learning /dk/atira/pure/subjectarea/asjc/1700/1712 name=Software /dk/atira/pure/subjectarea/asjc/1700/1707 name=Computer Vision and Pattern Recognition /dk/atira/pure/subjectarea/asjc/1700/1703 name=Computational Theory and Mathematics /dk/atira/pure/subjectarea/asjc/1700/1702 name=Artificial Intelligence /dk/atira/pure/subjectarea/asjc/2600/2604 name=Applied Mathematics
Extending the phenotype of midface toddler excoriation syndrome (MiTES)
Arun C Inamadar, Keshavmurthy Vinay, Bayanne Olabi, Nivedita Sarveswaran, Anuradha Bishnoi, Christopher G Woods, Celia Moss
Jun 17, 2019
Optimizing Energy Consumption in IoT-Based Scalable Wireless Sensor Networks
In recent era of IoT, energy ingesting by sensor nodes in Wireless Sensor Networks (WSN) is one of the key challenges. It is decisive to diminish energy ingesting due to restricted battery lifespan of sensor nodes, Objective of...
Published by: IGI Global Scientific Publishing
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