An Efficient Scheduling Scheme for Distributed Real-Time Systems
In recent years, with the smartening of equipment in the industry, Industrial Internet of Things …
Speeding -up the Vulnerability Analysis of Convolutional Neural Network Using Pruning
Nowadays, neural networks have been effective in solving many deep learning problems. Deep neural …
Energy Efficient Multi Retention STT-RAM Architecture and Memory Mapping for IoT Applications
Nowadays, devices connected to the Internet of Things (IoT) are widely used in human life. Since these devices generally …
An Efficient ReRAM-based Processing-in-Memory Architecture for Graph Computing
Graph analysis is the basis for many applications, e.g., hardware optimization and streaming data problems. …
An Energy-Efficient Processing-In-Memory Architecture for Big Data bitwise Application
Memory in computer systems is considered a bottleneck for system speed because it responds slowly to processor requests. This …
Energy Consumption Improvement For STT-RAM-based IOT Devices
Today, the Internet of Things has become an inseparable part of human life. The energy consumption of these devices …
Reliability Improvement in Domain-Wall based Cache Memories
Conventional memory technologies like SRAM and DRAM face different limitations in nanoscale technologies such as high leakage current and …
Performance Improvement of Neural Networks in Edge Computing with Heterogeneous devices
Executing deep learning models on edge devices is challenging due to their high computational complexity. The simultaneous …
Improving Performance of ReRAM-based Processing-in-Memory Architecture for Recurrent Neural Networks
Deep neural networks nowadays require massive data processing to solve complex problems. The process of …
Farshid Sanei who defended his MSc. thesis.
Farshid Sanei defended his Msc. thesis entitlled as "A Link Adaptation Scheme for Downlink Reliability Improvement in Narrowband Internet of …
Samiei who defended his bachelor project,
Saeed Samiei defended his Bachelor Project entitled as "Designed and developed a student-professor communication system based on IOT", Jan, 2020.
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Oct 25, 2024 -
Oct 25, 2024