Zobrazeno 1 - 10
of 31 318
pro vyhledávání: '"A Mukhtar"'
Over time, agriculture is the most consistent activity, and it evolves every day. It contributes to a vast majority of the Gross Domestic Product (GDP) of Nigeria but as ironic as it may be, there is still hunger in significant parts of the country d
Externí odkaz:
http://arxiv.org/abs/2407.16614
Speech emotion recognition (SER) is essential for enhancing human-computer interaction in speech-based applications. Despite improvements in specific emotional datasets, there is still a research gap in SER's capability to generalize across real-worl
Externí odkaz:
http://arxiv.org/abs/2406.09933
Self-supervised speech representations can hugely benefit downstream speech technologies, yet the properties that make them useful are still poorly understood. Two candidate properties related to the geometry of the representation space have been hyp
Externí odkaz:
http://arxiv.org/abs/2406.09200
Autor:
Khan, Asad Ur Rehman, Ramzan, Muhammad, Iqbal, Muhammad Faisal, Hafeez, Muhammad, Fadhali, Mohammed M., Somaily, Hamoud H., Javid, Muhammad, Mukhtar, Muhammad Waqas, Saleem, Muhammad Farooq
Zinc sulfide ZnS thin films with variable structural, optical, electrical, and thermoelectric properties were obtained by changing the source to substrate SSD distance in the physical vaporthermal coating PVTC system. The films crystallized into a zi
Externí odkaz:
http://arxiv.org/abs/2404.02404
Desert locust swarms present a major threat to agriculture and food security. Addressing this challenge, our study develops an operationally-ready model for predicting locust breeding grounds, which has the potential to enhance early warning systems
Externí odkaz:
http://arxiv.org/abs/2403.06860
Over the past few years, deep learning methods have been applied for a wide range of Software Engineering (SE) tasks, including in particular for the important task of automatically predicting and localizing faults in software. With the rapid adoptio
Externí odkaz:
http://arxiv.org/abs/2402.05645
Multi-object tracking (MOT) has profound applications in a variety of fields, including surveillance, sports analytics, self-driving, and cooperative robotics. Despite considerable advancements, existing MOT methodologies tend to falter when faced wi
Externí odkaz:
http://arxiv.org/abs/2312.11929
Sea Level Rise (SLR) is one of the most pressing challenges of climate change and has drawn noticeable research interest over the past few decades. Factors induced by global climate change such as temperature increase, have resulted in both direct an
Externí odkaz:
http://arxiv.org/abs/2312.08031
In recent years, advancements in the field of speech processing have led to cutting-edge deep learning algorithms with immense potential for real-world applications. The automated identification of stuttered speech is one of such applications that th
Externí odkaz:
http://arxiv.org/abs/2311.05203
Autor:
Apalowo, Rilwan Kayode, Muhamed Mukhtar, Muhamed Abdul Fatah, Abas, Mohamad Aizat, Che Ani, Fakhrozi
Publikováno v:
Soldering & Surface Mount Technology, 2024, Vol. 36, Issue 5, pp. 309-322.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/SSMT-04-2024-0020