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Improving time and space efficiency of trie data structure
(2018-08-15)
Trie or prefix tree is a data structure that has been used widely in some applications such as prefix-matching, auto-complete suggestions, and IP routing tables
for a long time. What makes tries even more interesting is ...
MONITORING OF SWT2 DATA CLUSTERS FOR THE ATLAS EXPERIMENT
(2018-12-06)
Monitoring of the South West Tier 2 RSEs is done by CERN with the help of Rucio. The challenge faced by the team monitoring the servers at the University of Texas site was that the monitoring data is pictorially represented ...
TOPOLOGICAL AND FEATURE BASED IDENTIFICATION OF HOLE BOUNDARIES IN POINT CLOUD DATA AND DIFFERENTIATION BETWEEN SURFACE AND PHYSICAL HOLES
(2018-12-13)
With the advent of autonomous agents becoming prominent in everyday lives, the importance of processing the surroundings into understandable features becomes more and more important. 3D point clouds play a major role in ...
DEEPSIGN: A DEEP-LEARNING ARCHITECTURE FOR SIGN LANGUAGE
(2018-11-13)
Sign languages are used by deaf people for communication. In sign languages, humans use hand gestures, body, facial expressions and movements to convey meaning. Humans can easily learn and understand sign languages, but ...
MALWARE EARLY-STAGE DETECTION USING MACHINE LEARNING ON HARDWARE PERFORMANCE COUNTERS
(2018-08-03)
Systems affected by Malware in the past 10 years has risen from 29 million to 780 million, which tells us it’s a rapidly growing threat. Viruses, ransomware, worms, backdoors, botnets etc. all come under malware. Ransomware ...
TEXT MINING ON TWITTER DATA TO EVALUATE SENTIMENT
(2018-12-06)
Social media platforms have been a major part of our daily lives. But with the freedom of expression there is no way one can check whether the posts/tweets/expressions are classified on which polarity. Since Twitter is one ...
TOWARDS END-TO-END SEMI-SUPERVISED DEEP LEARNING FOR DRUG DISCOVERY
(2018-11-26)
Observing the recent progress in Deep Learning, the employment of AI is surging to accelerate drug discovery and cut R&D costs in the last few years. However, the success of deep learning is attributed to large-scale clean ...
CLASSIFICATION OF CLINICAL NARRATIVES USING CONVOLUTIONAL NEURAL NETWORK
(2018-12-10)
Patient safety is a key aspect for good consumer care. When an individual is hospitalized or receives medication the family wants the patient safety to be above all factors. For instance, a drug can do both either cure the ...
DWRELU : DOUBLE WEIGHTED RECTIFIER LINEAR UNIT AN ACTIVATION FUNCTION WITH TRAINABLE SCALING PARAMETER
(2018-11-14)
Deep Neural Network have become very popular for computer vision application in recent years. At the same time, it remains important to understand the different implementation choices that need to be made when designing a ...
GENERATING AN ADAPTIVE PATH USING RRT SAMPLING AND POTENTIAL FUNCTIONS WITH DIRECTIONAL NEAREST NEIGHBORS
(2018-12-13)
Planning algorithms have attained omnipresent successes in several fields including robotics, animation, manufacturing, drug design, computational biology and aerospace applications. Path Planning is an essential component ...