M. Atemkeng

发表

NenUFAR: Instrument description and science case

M. N. El Korso, C. Févotte, A. Petiteau, 2015, 2015 International Conference on Antenna Theory and Techniques (ICATT).

Fast algorithms to approximate the position-dependent point spread function responses in radio interferometric wide-field imaging

O. Smirnov, C. Tasse, G. Foster, 2020, 2009.07010.

The LOFAR Two-metre Sky Survey IV. First Data Release: Photometric redshifts and rest-frame magnitudes

G. Brunetti, O. Smirnov, M. Jamrozy, 2018, 1811.07928.

The LOFAR Two-metre Sky Survey

T. J. Dijkema, J. Conway, D. Bacon, 2017, Astronomy & Astrophysics.

Using baseline-dependent window functions for data compression and field-of-interest shaping in radio interferometry

J. Jonas, O. Smirnov, C. Tasse, 2016, 1607.04106.

First data release ? , ? ?

T. J. Dijkema, J. Conway, D. Bacon, 2019 .

’ s repository of research publications and other research outputs The LOFAR Two-metre Sky Survey-II . First data release Journal Item

T. J. Dijkema, J. Conway, D. Bacon, 2018 .

Beam Pattern Simulation of Nkutunse Antenna

M. Atemkeng, Severin Azankpo, A. Akoto-Danso, 2014 .

Filling the uv-gaps of the current VLBI network in Africa

M. Atemkeng, S. Zambou, P. Okouma, 2020, 2003.08642.

What do Deep Neural Networks Learn in Medical Images?

M. Atemkeng, Yusuf Brima, 2022, ArXiv.

The LOFAR Two-metre Sky Survey: II. First data release

T. J. Dijkema, D. Bacon, A. Merloni, 2018 .

Radio Astronomical Antennas in the Central African Region to Improve the Sampling Function of the VLBI Network in the SKA Era?

M. Atemkeng, S. Zambou, P. Okouma, 2022, Sensors.

The extended H i halo of NGC 4945 as seen by MeerKAT

K. Thorat, P. Serra, O. Smirnov, 2022, Monthly Notices of the Royal Astronomical Society.

Transfer Learning for the Detection and Diagnosis of Types of Pneumonia including Pneumonia Induced by COVID-19 from Chest X-ray Images

M. Atemkeng, F. Tchakounté, Yusuf Brima, 2021, Diagnostics.

A Game Theoretical Model for Anticipating Email Spear-Phishing Strategies

Franklin Tchakounté, Marcellin Atemkeng, Kalum Priyanath Udagepola, 2018, EAI Endorsed Trans. Scalable Inf. Syst..

Intelligent Systems Using Sensors and/or Machine Learning to Mitigate Wildlife–Vehicle Collisions: A Review, Challenges, and New Perspectives

M. Atemkeng, P. Okouma, Irene Nandutu, 2022, Sensors.

A Review of Gamification Applied to Phishing

Franklin Tchakounté, Marcellin Atemkeng, Leonel Kanmogne Wabo, 2020 .

Baseline-dependent sampling and windowing for radio interferometry: data compression, field-of-interest shaping, and outer field suppression

J. Jonas, Z. Paragi, O. Smirnov, 2018, 1803.02569.

Deep Learning Models Compression for Agricultural Plants

Marcellin Atemkeng, Jean Louis Ebongue Kedieng Fendji, Arnauld Nzegha Fountsop, 2020, Applied Sciences.

CIAA-RepDroid: A Fine-Grained and Probabilistic Reputation Scheme for Android Apps Based on Sentiment Analysis of Reviews

Franklin Tchakounté, Athanase Esdras Yera Pagor, Jean-Claude Kamgang, 2020, Future Internet.

Faceting for direction-dependent spectral deconvolution

L. Bester, S. Perkins, C. Tasse, 2017, 1712.02078.

Automatic Speech Recognition Using Limited Vocabulary: A Survey pdf

Marcellin Atemkeng, Jean Louis Fendji Kedieng Ebongue, Blaise Omer Yenke, 2022, Appl. Artif. Intell..

Automatic Speech Recognition And Limited Vocabulary: A Survey

M. Atemkeng, J. L. Fendji, B. Yenke, 2021, 2108.10254.

Hydrodynamical backflow in X-shaped radio galaxy PKS 2014−55

K. Thorat, F. Camilo, T. Mauch, 2020, 2005.02723.

Integrating AI ethics in wildlife conservation AI systems in South Africa: a review, challenges, and future research agenda

M. Atemkeng, P. Okouma, Irene Nandutu, 2021, AI & SOCIETY.

Lossy Compression of Large-Scale Radio Interferometric Data

O. Smirnov, S. Perkins, B. Hugo, 2023, ArXiv.

Open The LOFAR Two-metre Sky Survey - II. First data

T. J. Dijkema, D. Bacon, A. Merloni, 2022 .

The LOFAR Two-metre Sky Survey

T. J. Dijkema, J. Conway, D. Bacon, 2018, Astronomy & Astrophysics.

A Reliable Weighting Scheme for the Aggregation of Crowd Intelligence to Detect Fake News

Franklin Tchakounté, Marcellin Atemkeng, Ahmadou Faissal, 2020, Inf..

Conventional Machine Learning based on Feature Engineering for Detecting Pneumonia from Chest X-rays

Marcellin Atemkeng, Jaures Ebiele, Theophilus Ansah-Narh, 2020, SAICSIT.

Label Assisted Autoencoder for Anomaly Detection in Power Generation Plants

Arnaud Nguembang Fadja, M. Atemkeng, F. Tchakounté, 2023, ArXiv.

Surveys : a new window on the Universe Special issue The LOFAR Two-metre Sky Survey II . First data release ? , ? ?

T. J. Dijkema, A. Merloni, T. Ensslin, 2019 .

Visual Interpretable and Explainable Deep Learning Models for Brain Tumor MRI and COVID-19 Chest X-ray Images

M. Atemkeng, Yusuf Brima, 2022, 2208.00953.

The LOFAR Two-metre Sky Survey. I. Survey description and preliminary data release

T. J. Dijkema, D. J. McKay, J. Conway, 2016, 1611.02700.

Anomaly Detection in Power Generation Plants Using Machine Learning and Neural Networks

Theophilus Ansah-Narh, Jecinta Mulongo, M. Atemkeng, 2019, Appl. Artif. Intell..

The LOFAR Two-metre Sky Survey

T. J. Dijkema, C. Conselice, A. Merloni, 2019, Astronomy & Astrophysics.

Characterizing Mobile Money Phishing Using Reinforcement Learning

M. Atemkeng, F. Tchakounté, Alima Nzeket Njoya, 2023, IEEE Access.