Dennis Agyemanh Nana Gookyi

According to our database, Dennis Agyemanh Nana Gookyi authored at least 12 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Deploying and Evaluating Multiple Deep Learning Models on Edge Devices for Diabetic Retinopathy Detection.

Akwasi Asare, Dennis Agyemanh Nana Gookyi, Derrick Boateng, Fortunatus Aabangbio Wulnye

CoRR, June, 2025

Deep neural network-driven precision agriculture multi-path multi-hop noisy plant image data transmission and plant disease detection.

Derek Kwaku Pobi Asiedu, Kwabena Ebo Bennin, Dennis Agyemanh Nana Gookyi, Mustapha Benjillali, Samir Saoudi

Ann. des Télécommunications, June, 2025

2024

Precision Agriculture Deep Neural Network Driven Multi-hop Plant Image Noisy Data Transmission and Plant Disease Detection.

Derek Kwaku Pobi Asiedu, Kwadwo Boateng Ofori-Amanfo, Kwabena Ebo Bennin, Mustapha Benjillali, Kyoung-Jae Lee, Dennis Agyemanh Nana Gookyi, Samir Saoudi

Proceedings of the 12th IEEE International Symposium on Signal, 2024

TinyML Implementation on Microcontrollers: The Case of Maize Leaf Disease Identification.

Fortunatus Aabangbio Wulnye, Ewura Abena Essanoah Arthur, Dennis Agyemanh Nana Gookyi, Derek Kwaku Pobi Asiedu, Michael Wilson, Justice Owusu Agyemang

Proceedings of the Conference on Information Communications Technology and Society, 2024

Edge Impulse vs TensorFlow: A Comparative Analysis of TinyML Platforms for Maize Leaf Disease Identification.

Ewura Abena Essanoah Arthur, Fortunatus Aabangbio Wulnye, Dennis Agyemanh Nana Gookyi, Kwame Opuni-Boachie Obour Agyekum, Paul Danquah, Raymond Gyaang

Proceedings of the Conference on Information Communications Technology and Society, 2024

2023

Deep Learning Accelerators' Configuration Space Exploration Effect on Performance and Resource Utilization: A Gemmini Case Study.

Dennis Agyemanh Nana Gookyi, Eunchong Lee, Kyungho Kim, Sung-Joon Jang, Sang-Seol Lee

Sensors, March, 2023

The Efficiency of Convolution on Gemmini Deep Learning Hardware Accelerator.

Dennis Agyemanh Nana Gookyi, Michael Wilson, Roger Kwao Ahiadormey, Derek Kwaku Pobi Asiedu, Paul Danquah, Raymond Gyaang

Proceedings of the IEEE AFRICON 2023, Nairobi, Kenya, September 20-22, 2023, 2023

2022

A Lightweight System-On-Chip Based Cryptographic Core for Low-Cost Devices.

Dennis Agyemanh Nana Gookyi, Kwangki Ryoo

Sensors, 2022

Exploring GEMM Operations on Different Configurations of the Gemmini Accelerator.

Dennis Agyemanh Nana Gookyi, Eunchong Lee, Kyungho Kim, Sung-Joon Jang, Sang-Seol Lee

Proceedings of the 19th International SoC Design Conference, 2022

2021

NIST Lightweight Cryptography Standardization Process: Classification of Second Round Candidates, Open Challenges, and Recommendations.

Dennis Agyemanh Nana Gookyi, Guard Kanda, Kwangki Ryoo

J. Inf. Process. Syst., 2021

2019

Selecting a Synthesizable RISC-V Processor Core for Low-cost Hardware Devices.

Dennis Agyemanh Nana Gookyi, Kwangki Ryoo

J. Inf. Process. Syst., 2019

2018

Design of Cryptographic Core for Protecting Low Cost IoT Devices.

Dennis Agyemanh Nana Gookyi, Kwangki Ryoo

Proceedings of the Advanced Multimedia and Ubiquitous Engineering, 2018