A5001164203- Analog and Mixed-Signal Circuit Design
- Neuroscience and Neural Engineering
- Advancements in Semiconductor Devices and Circuit Design
- Radio Frequency Integrated Circuit Design
- CCD and CMOS Imaging Sensors
- Advanced Wireless Communication Techniques
- Low-power high-performance VLSI design
- Wireless Communication Networks Research
- Advancements in PLL and VCO Technologies
- ECG Monitoring and Analysis
- Blind Source Separation Techniques
- Advanced MIMO Systems Optimization
- Advanced Adaptive Filtering Techniques
- Energy Harvesting in Wireless Networks
- solar cell performance optimization
- Photovoltaic System Optimization Techniques
- Advanced Power Amplifier Design
- Advanced MEMS and NEMS Technologies
- Sensor Technology and Measurement Systems
- EEG and Brain-Computer Interfaces
- Wireless Body Area Networks
- Power Line Communications and Noise
- Solar Radiation and Photovoltaics
- PAPR reduction in OFDM
- Electromagnetic Compatibility and Noise Suppression
University of Sharjah
2016-2025
Conemaugh Health System
2024
Conemaugh Memorial Medical Center
2024
North Manchester General Hospital
2024
American University of Ras Al Khaimah
2023
Fayoum University
2010-2021
Hôpital Aristide Le Dantec
2019
National Institute of Oceanography and Fisheries
2016
Helwan University
2015
Agricultural Genetic Engineering Research Institute
2013
A least sum of squared errors (LSSE) channel estimation algorithm is presented for estimating a impulse response from known training sequence. Optimum sequences are found and tabulated different responses sequence lengths. The effect on the performance some data detectors also investigated. simple approximation expected degradation in with derived.
Skin cancer is the most common type of worldwide, affecting a large population recently. To date, various machine learning techniques exploiting skin images have been applied directly to classification, showing promising results in improving diagnostic accuracy. This study aims develop learning-based model capable accurately classifying by utilizing extracted features from preprocessed publicly available PH² dataset. Preprocessed are known provide more significant in- formation than raw...
This paper presents a thorough review of the main techniques used for wireless power transfer (WPT) in implantable medical devices (IMDs) with specific focus on that employ antennas energy harvesting (electromagnetic (EM) WPT techniques). The are first analysed and compared based IMD application, efficiency (PTE), distance, implantation depth, implant size, operating frequency, absorption rate (SAR). study provides critical analysis system's as well antennas' design parameters control PTE...
Design and simulation of a digitally controlled CMOS fully differential current conveyor (DCFDCC) is presented. A novel division network (CDN) used to provide the digital control gain between terminals X Z this DCFDCC. The proposed DCFDCC operates under low supply voltage /spl plusmn/1.5 V. realization using new CDN presented by two approaches. First approach has linearly proportional with parameter CDN, while second exhibits greater than, or equal to, one. Applications in realizing order...
Breast cancer is the most common among women and globally affects both genders. The disease arises due to abnormal growth of tissue formed malignant cells. Early detection breast crucial for enhancing survival rate. Therefore, artificial intelligence has revolutionized healthcare can serve as a promising tool early diagnosis. present study aims develop machine-learning model classify provide explanations results. This could improve understanding diagnosis treatment by identifying important...
Parkinson’s Disease (PD) is a complex neurodegenerative disorder characterized by spectrum of motor and non-motor symptoms, prominently featuring the freezing gait (FOG), which significantly impairs patients’ quality life. Despite extensive research, precise mechanisms underlying FOG remain elusive, posing challenges for effective management treatment. This paper presents comprehensive meta-analysis prediction detection methodologies, with focus on integration wearable sensor technology...
This paper presents the analysis and design of a new CMOS highly linear digitally programmable operational transconductance amplifier (DPOTA). The proposed DPOTA is used to fourth-order low pass filter for portable Electroencephalogram (EEG), Electrocardiogram (ECG) Electromyography (EMG) detection systems. performance validated through simulation results using 90 nm technology under balanced 1.2 V supply voltage. value can be controlled, from 25 nA/V 400 nA/V, by 4-bit digital word. IM3 45...
Recent research has revealed that using machine learning systems for the analysis of genetic data could reliably detect Alzheimer's disease.The interpretability these models, however, been a challenge, as they frequently provided little insight into features contribute to their predictions.Explainable presented solution this problem since it enables identification significant attributes and gives clearer method making predictions.In study, Genome-Wide Association Studies were used recognize...
Presents predetection and postdetection combining schemes for selection diversity reception with multiple antennas MM-wave indoor radio channels. For those schemes, a reduction in complexity is achieved by limiting the number of combined signals to small values increasing received signals. Bit error rate (BER) performance binary phase shift keying (BPSK) selected (CSS) BER differential BPSK CSS are analyzed slow fading Rayleigh-distributed envelope statistics. Predetection maximal ratio that...
A fully programmable second-order universal filter with independently controllable characteristics is presented in this paper. The proposed based on a new ± 0.75 V second-generation current conveyor digitally gain. input stage of the realized using two complementary MOS differential pairs to ensure rail-to-rail operation. output consists Class-AB CMOS push-pull network, which guarantees high driving capability 47.2 μA standby current. digital programmability conveyor, transistor arrays and...
In the contemporary era, blind source separation has emerged as a highly appealing and significant research topic within field of signal processing. The imperative for integration techniques context beyond fifth-generation sixth-generation networks arises from increasing demand reliable efficient communication systems that can effectively handle challenges posed by high-density networks, dynamic interference environments, coexistence diverse sources, thereby enabling enhanced extraction...