LAHAF: Low-power, area-efficient, and high-performance approximate full adder based on static CMOS. - Seyed Erfan Fatemieh; Samira Shirinabadi Farahani; Mohammad Reza Reshadinezhad (Sustain. Comput. Informatics Syst., 2021)

Approximate In-Memory Computing using Memristive IMPLY Logic and its Application to Image Processing. - Seyed Erfan Fatemieh; Mohammad Reza Reshadinezhad; Nima TaheriNejad (ISCAS, 2022)

Fast and Compact Serial IMPLY-Based Approximate Full Adders Applied in Image Processing. - Seyed Erfan Fatemieh; Mohammad Reza Reshadinezhad; Nima TaheriNejad (IEEE J. Emerg. Sel. Topics Circuits Syst., 2023)

Energy-Efficient Approximate Full Adders Applying Memristive Serial IMPLY Logic For Image Processing. - Seyed Erfan Fatemieh; Mohammad Reza Reshadinezhad (CoRR, 2024)

Energy-Efficient and Fast Memristor-based Serial Multipliers Applicable in Image Processing. - Seyed Erfan Fatemieh; Bahareh Bagheralmoosavi; Mohammad Reza Reshadinezhad (CoRR, 2024)

Energy-efficient and fast IMPLY-based approximate full adder applying NAND gates for image processing. - Samane Asgari; Mohammad Reza Reshadinezhad; Seyed Erfan Fatemieh (Comput. Electr. Eng., 2024)

New design for error-resilient approximate multipliers used in image processing in CNTFET technology. - Samira Shirinabadi Farahani; Mohammad Reza Reshadinezhad; Seyed Erfan Fatemieh (J. Supercomput., 2024)

Fast and low energy approximate full adder based on FELIX logic. - Seyed Erfan Fatemieh; Samane Asgari; Mohammad Reza Reshadinezhad (CoRR, 2025)

Power-area efficient serial IMPLY-based 4:2 compressor applied in data-intensive applications. - Bahareh Bagheralmoosavi; Seyed Erfan Fatemieh; Mohammad Reza Reshadinezhad; Antonio Rubio 001 (Clust. Comput., 2025)