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20242026
most citedPower-Area Efficient Serial IMPLY-based 4:2 Compressor Applied in Data-Intensive Applications

3 citations · 7 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CR2026

Design of Memristive Lightweight Encryption For In-Memory Image Steganography

Seyed Erfan Fatemieh, Reza Shahdi Alizadeh, Esmail Zarezadeh

With the expansion of data-intensive applications and increasing data volumes, providing an efficient solution to address growing energy consumption and performance degradation cau…

cs.AR2025

Fast and low energy approximate full adder based on FELIX logic

Seyed Erfan Fatemieh, Samane Asgari, Mohammad Reza Reshadinezhad

In the "Big Data" era, a lot of data must be processed and moved between processing and memory units. New technologies and architectures have emerged to improve system performance…

cs.ET2024★ 1 cited

Energy-Efficient and Fast Memristor-based Serial Multipliers Applicable in Image Processing

Seyed Erfan Fatemieh, Bahareh Bagheralmoosavi, Mohammad Reza Reshadinezhad

Memristive Processing In-Memory (PIM) is one of the promising techniques for overcoming the Von-Neumann bottleneck. Reduction of data transfer between processor and memory and data…

cs.ET2024★ 3 cited

Power-Area Efficient Serial IMPLY-based 4:2 Compressor Applied in Data-Intensive Applications

Bahareh Bagheralmoosavi, Seyed Erfan Fatemieh, Mohammad Reza Reshadinezhad +1

The data transfer between a processor and memory has become a design bottleneck in data-intensive applications. Processing-In-Memory (PIM) is a practical approach to overcome the m…

cs.ET2024★ 3 cited

Energy-Efficient Approximate Full Adders Applying Memristive Serial IMPLY Logic For Image Processing

Seyed Erfan Fatemieh, Mohammad Reza Reshadinezhad

Researchers and designers are facing problems with memory and power walls, considering the pervasiveness of Von-Neumann architecture in the design of processors and the problems ca…