Zobrazeno 1 - 10
of 10 128
pro vyhledávání: '"P Mensah"'
Autor:
Reza, Zaynab Batool, Syed, Abdul Rafay, Iqbal, Omer, Mensah, Ethel, Liu, Qian, Rahman, Maxx Richard, Maass, Wolfgang
In an era where digital security is crucial, efficient processing of security-related inquiries through supply chain security questionnaires is imperative. This paper introduces a novel approach using Natural Language Processing (NLP) and Retrieval-A
Externí odkaz:
http://arxiv.org/abs/2412.13988
The explosion of IoT sensors in industrial, consumer and remote sensing use cases has come with unprecedented demand for computing infrastructure to transmit and to analyze petabytes of data. Concurrently, the world is slowly shifting its focus towar
Externí odkaz:
http://arxiv.org/abs/2411.07834
The use of social media applications, hate speech engagement, and public debates among teenagers, primarily by university and college students, is growing day by day. The feelings of tremendous stress, anxiety, and depression via social media among o
Externí odkaz:
http://arxiv.org/abs/2410.20070
Autor:
Mensah, Yaogan
This paper shows how a family of function spaces (coined as Assiamoua spaces) plays a fundamental role in the Fourier analysis of vector-valued functions compact groups. These spaces make it possible to transcribe the classic results of Fourier analy
Externí odkaz:
http://arxiv.org/abs/2410.15211
Quantum Machine Learning (QML) is a red-hot field that brings novel discoveries and exciting opportunities to resolve, speed up, or refine the analysis of a wide range of computational problems. In the realm of biomedical research and personalized me
Externí odkaz:
http://arxiv.org/abs/2410.02085
Autor:
Folly-Gbetoula, Mensah, Anani, Kwassi
Symmetry is a powerful tool for finding analytical solutions to differential equations, both partial and ordinary, via the similarity variables or via the invariance of the equation under group transformations. It is the largest group of transformati
Externí odkaz:
http://arxiv.org/abs/2409.19244
Autor:
Anani, Kwassi, Folly-Gbetoula, Mensah
Burgers' equation with fixed Dirichlet boundary conditions is considered on generic bounded intervals. By using the Hopf-Cole transformation and the exact operational solution recently established for linear reaction-diffusion equations with constant
Externí odkaz:
http://arxiv.org/abs/2409.19240
Autor:
Agyemang, Isaac Osei, Chen, Jianwen, Zeng, Liaoyuan, Adjei-Mensah, Isaac, Acheampong, Daniel, Boateng, Gordon Owusu, Baffour, Adu Asare
Image environments and noisy labels hinder deep learning-based inference models in structural damage detection. Post-detection, there is the challenge of reliance on manual assessments of detected damages. As a result, Guided-DetNet, characterized by
Externí odkaz:
http://arxiv.org/abs/2407.19694
In this paper, we introduce a family of Fourier multipliers using the spherical Fourier transform on Gelfand pairs. We refer to them as spherical Fourier multipliers. We study certain sufficient conditions under which they are bounded. Then, under th
Externí odkaz:
http://arxiv.org/abs/2407.09225
Autor:
Boateng, George, Mensah, Jonathan Abrefah, Yeboah, Kevin Takyi, Edor, William, Mensah-Onumah, Andrew Kojo, Ibrahim, Naafi Dasana, Yeboah, Nana Sam
The African continent lacks enough qualified teachers which hampers the provision of adequate learning support. An AI could potentially augment the efforts of the limited number of teachers, leading to better learning outcomes. Towards that end, this
Externí odkaz:
http://arxiv.org/abs/2403.01699