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A Recurrent Neural Network Based Patch Recommender for Linux Kernel Bugs
A SCALABLE LSTM BASED APPROACH FOR MULTI-PEDESTRIAN TRACKING IN SURVEILLANCE CAMERAS
A SELECTIVE SENSOR FRAMEWORK USING SENSOR FUSION AND SENSOR MAPS TO ACHIEVE COMPLETE COVERAGE PLANNING OF A SEMI-AUTONOMOUS ROBOTIC VEHICLE
A navigation system for low-cost autonomous all-terrain-vehicles
AN EFFICIENT DESIGN SPACE EXPLORATION FRAMEWORK TO OPTIMIZE POWER-EFFICIENT HETEROGENEOUS MANY-CORE MULTI-THREADING EMBEDDED PROCESSOR ARCHITECTURES
ASSESSING THE IMPACT OF SCHOOL BUS TRAFFIC USING MODELING SOFTWARE AND AUTOMATED TRAFFIC SIGNAL PERFORMANCE MEASURES
Abstract visualization of large-scale time-varying data
Advancing Highway Safety: Embedded-Edge AI for Real-Time Applications
Algorithmic Optimization of First Convolution Layer in CNNs for Hardware Accelerator Design
An Integrative Algorithm/Architecture Co-Design Of Deep Spatial and Temporal Separable Convolutional Neural Networks
Analysis and Enhancement of Resource-hungry Applications
Assured Information Sharing for Ad-hoc Collaboration
Autonomous Control of an All-terrain Vehicle using Embedded Systems and Artificial Intelligence Techniques
Autonomous Malware Deception and Orchestration
Bridging the gap between heterogeneous computing and next generation memory architecture using high level synthesis
COMPUTATIONAL INVERSE MECHANICS OF A HIGHLY COMMINUTED TIBIA FRACTURE
Cache-Aware Implementation of Compressed Sensing Reconstruction using Walsh-Hadamard Transform on a Multicore Architecture
Characterizing Latencies of Edge Video Streaming
Cognitive Spectrum Access for D2D Communications in Emerging Networks
DEVELOPMENT AND EVALUATION OF RSSI-BASED LOCALIZATION SCHEMES FOR WIRELESS SENSOR NETWORKS TO MITIGATE SHADOWING EFFECTS