Topic
- Computing and Processing
- Components, Circuits, Devices and Systems
- Communication, Networking and Broadcast Technologies
- Power, Energy and Industry Applications
- Signal Processing and Analysis
- Robotics and Control Systems
- General Topics for Engineers
- Fields, Waves and Electromagnetics
- Engineered Materials, Dielectrics and Plasmas
- Bioengineering
- Transportation
- Photonics and Electrooptics
- Engineering Profession
- Aerospace
- Geoscience
- Nuclear Engineering
- Career Development
- Emerging Technologies
- Telecommunications
- English for Technical Professionals
Mustafa Altun
Affiliation
Electronics and Communication Engineering, Yildiz Technical University, Istanbul, Turkey
Topic
Boolean Logic,Control Input,Number Of Products,Number Of Switches,Artificial Neural Network,CMOS Technology,Clock Cycles,Hardware Complexity,Power Consumption,Real Function,Bias Values,CMOS Process,Channel Length,Clock Period,Computational Effort,Divide-and-conquer,Divide-and-conquer Approach,Energy Consumption,Hidden Layer,Lattice Size,Neural Network,Neurons In Layer,Partial Products,Sum Of Products,65-nm CMOS,Artificial Neural Network Output,Benchmark Functions,Boolean Function,Bottom Plate,Channel Width,Convolutional Layers,Convolutional Neural Network,Crossbar Array,Degree Of Functionalization,Efficient Implementation,Fault-tolerant,Feed-forward Artificial Neural Network,Floating-point Values,Graphics Processing Unit,Hardware Implementation,Inductive Load,Input Circuit,Input Signal,Input Variables,Large-sized Instances,Less Than Or Equal,Limited Time,Model Parameters,Output Bits,Output Layer,
Biography
Mustafa Altun received the Ph.D. degree in electrical engineering with the Ph.D. minor in mathematics from the University of Minnesota, Minneapolis, MN, USA, in 2012. Since 2013, he has been a Faculty Member of Istanbul Technical University, Istanbul, Turkey, and runs the Emerging Circuits and Computation Group.