Japhet Nyanda Shelembi holds a Bachelor of Science in Electronic Science and Communication from the University of Dar es Salaam, Tanzania (2010-2013), and a Master of Engineering in Signal and Information Processing from Tianjin University of Technology and Education, China (2017-2020). His academic journey and professional experiences have shaped his expertise and passion for several cutting-edge research areas. These include Machine Learning/Deep Learning, Computer Vision, Digital Signal Processing, Internet of Things (IoT) and embedded system design, Image Processing, and Medical Image Analysis. Shelembi's research aims to develop innovative solutions that leverage these technologies to address complex real-world problems.
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Shelembi Japhet N., Xueweng Ding., & Ayesha Younis (2020). Mammograms Classification Based on Convolutional Neural Network. IOSR Journal of Computer Engineering (IOSR-JCE), 22(1),44-49. http://www.iosrjournals.org/iosr-jce/pages/22(1)Series-3.html, DOI: 10.9790/0661-2201034449
Ayesha Younis, LiShixin, Shelembi JN, Zhang Hai (2020). Real-Time Object Detection Using PreTrained Learning Models MobileNet- SSD. https://doi.org/10.1145/3379247.3379264