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Bird Audio Diarization with Faster R-CNN
Birds embody particular phonic and visual traits that distinguish them from 10,000 distinct bird species worldwide. Birds are also perceived to be...
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Deep learning-based automated steel surface defect segmentation: a comparative experimental study
The use of machine vision and deep learning for intelligent industrial inspection has become increasingly important in automating the production...
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On APN exponents, characterizations of differentially uniform functions by the Walsh transform, and related cyclic-difference-set-like structures
In this paper, we summarize the results obtained recently in three papers on differentially uniform functions in characteristic 2, and presented at...
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Longitudinal Correlation Analysis for Decoding Multi-modal Brain Development
Starting from childhood, the human brain restructures and rewires throughout life. Characterizing such complex brain development requires effective...
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A systematic evaluation of machine learning on serverless infrastructure
Recently, the serverless paradigm of computing has inspired research on its applicability to data-intensive tasks such as ETL, database query...
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Interactive Temporal Digital Forensic Event Analysis
Current digital forensic tools and applications lack the capability to visually present high-level system events and their associated low-level...
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Video quality adaptation using CNN and RNN models for cost-effective and scalable video streaming Services
Video streaming services require adaptive bit rate strategies that optimize video quality based on network conditions and user preferences to provide...
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Creation of small kinetic models for CFD applications: a meta-heuristic approach
This paper updates a method for generating small, accurate kinetic models for applications in computational fluid dynamics programs. This particular...
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Rotamer-free protein sequence design based on deep learning and self-consistency
Several previously proposed deep learning methods to design amino acid sequences that autonomously fold into a given protein backbone yielded...
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Accelerating neural network training with distributed asynchronous and selective optimization (DASO)
With increasing data and model complexities, the time required to train neural networks has become prohibitively large. To address the exponential...
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A real-time deep learning forest fire monitoring algorithm based on an improved Pruned + KD model
To meet the needs of embedded intelligent forest fire monitoring systems using an unmanned aerial vehicles (UAV), a deep learning fire recognition...
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EMARec: a sequential recommendation with exponential moving average
Capturing dynamic preference features from user historical behavioral data is widely applied to improve the accuracy of recommendations in sequential...
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Plateaued Functions: Generalities and Characterizations
The so-called plateaued functions in n variables (or r-plateaued functions) have been introduced in 1999 by Zheng and Zhang in [61] for 0 < r < n....
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Technological Catalysts in Innovation Strategy Implementation
In the last 20 years, digitization has become an important part of our everyday and business lives. Nevertheless, we are still only at the beginning...
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Transfer Learning
We saw how exceptionally well deep learning models performed when applied to computer vision and classification tasks. Our LeNet model with the MNIST...
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Multi-task Learning Curve Forecasting Across Hyperparameter Configurations and Datasets
The computational challenges arising from increasingly large search spaces in hyperparameter optimization necessitate the use of performance...
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ABOT: an open-source online benchmarking tool for machine learning-based artefact detection and removal methods from neuronal signals
Brain signals are recorded using different techniques to aid an accurate understanding of brain function and to treat its disorders. Untargeted...
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Privacy preserving cold-start recommendation for out-of-matrix users via content baskets
Guest users, single-time clients who use an online service anonymously without prior registration, are common in real-world recommendation...
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A large-scale exploratory study on the proxy pattern in Ethereum
The proxy pattern is a well-known design pattern with numerous use cases in several sectors of the software industry (e.g., network applications,...
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Multi-step Cascaded Networks for Brain Tumor Segmentation
Automatic brain tumor segmentation method plays an extremely important role in the whole process of brain tumor diagnosis and treatment. In this...