الرئيسية › دليل الباحثين › Sameh Kaziz
Sameh Kaziz
الانتماء : Centre de Recherche en Microelectronique et Nanotechnologie · University of Sousse
- 32منشورات (انتماء تونسي)
- 32مجموع المنشورات
- 573الاستشهادات
- 14مؤشر h
الملف البحثي
لدى Sameh Kaziz 32 منشور(ات) مفهرسة (2015–2026). تُنشر أعماله أساسًا في «IEEE Sensors Journal»، «The European Physical Journal Plus» و«Plasmonics». أكثر مقالاته استشهادًا هو «Optimizing PCF-SPR sensor design through Taguchi approach, machine learning, and genetic algorithms» (2024)، وقد استُشهد به 97 مرة. 17 من هذه المنشورات تعود إلى آخر ثلاث سنوات من النشاط. شارك في تأليف أعماله 12 باحثًا على الأقل، منهم باحثون من مؤسسات في السعودية.
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إنشاء ملفي المجاني إضافة منشوراتيمجالات البحث
- Microfluidic and Capillary Electrophoresis Applications
- Biosensors and Analytical Detection
- Advanced Fiber Optic Sensors
- Plasmonic and Surface Plasmon Research
- Photonic Crystal and Fiber Optics
المنشورات (32)
- IoT-Enabled PCF-SPR Glucose Sensor With MLP-Based Performance Prediction
- Integrated Experimental–Numerical PCF-LSPR Sensor for Dopamine Monitoring
- Optimization of Coriolis-driven Lab-on-a-CD biosensors for CRP detection using Box-behnken Design and hybrid TLBO-ANN modeling
- Smart Sensing Nanoplatform with ML-Enhanced Prediction for Simultaneous Neurotransmitter Detection
- Artificial Intelligence Optimization of Au Nanoparticles-Based Photonic Crystal Fiber Biosensor
- Highly Sensitive PCF-SPR Magnetic Sensor Based on Statistical Optimization and MLP Modeling
- Design and optimization of grating based D-shaped PCF-SPR sensor through Taguchi method for RI-based blood cancer sensing
- Performance Prediction of a Highly Sensitive Optimized PCF-SPR Biosensor for Cancer Cell Detection Using MLP-Based ANN Model
- Novel Optimization Approach and AI Performance Prediction of a Highly Sensitive V-Shaped PCF-SPR Sensor for Cancer Cell Detection
- Plackett–Burmann Design and Machine Learning Models for Optimization and Prediction of Confinement Loss in PCF Sensor
- Optimizing microfluidic chip for rapid SARS-CoV-2 detection using Taguchi method and artificial neural network PSO
- Full Confinement Loss Prediction in a Novel X-Shaped PCF-SPR Cancer Biosensor
- Hybrid BBD-ML optimized X-shaped PCF-SPR sensor for sensitive malaria detection
- Optimization for V-Shaped PCF-SPR Sensor Using Machine Learning Approaches
- Optimizing PCF-SPR sensor design through Taguchi approach, machine learning, and genetic algorithms
- Optimization of Lab-On-a-CD by Experimental Design and Machine Learning Models for Microfluidic Biosensor Application
- Optimizing and Predicting Performance of Dual-Side Polished SPR Photonic Crystal Fiber using MLR and ANN Models
- Taguchi method: artificial neural network approach for the optimization of high-efficiency microfluidic biosensor for COVID-19
- Numerical simulation and optimization of AC electrothermal microfluidic biosensor for COVID-19 detection through Taguchi method and artificial network
- Optimization of annular microfluidic biosensor enhanced by active and passive effects using Taguchi’s method coupled with multi-layer perceptron neural networks (MLP-NN) models
- Numerical optimization of microfluidic biosensor detection time for the SARS-CoV-2 using the Taguchi method
- Enhancement of SARS-CoV-2 Detection Time for Integrated Flow Confinement Microfluidic Biosensor
- Optimization of Microfluidic Biosensor Enhanced by Electrothermal Effect Using Taguchi's Method Coupled with MLP-ANN Models
- Hybrid Taguchi-Artificial Neural Network Method for Design and Optimization of Microfluidic Biosensor
- Taguchi optimization of electrothermal microfluidic annular biosensor for rapid SARS-CoV-2 detection
- Taguchi optimization of integrated flow microfluidic biosensor for COVID-19 detection
- 3D simulation of microfluidic biosensor for SARS-CoV-2 S protein binding kinetics using new reaction surface design
- Design parameters optimization of an electrothermal flow biosensor for the SARS-CoV-2 S protein immunoassay
- Simulation of Microfluidic Biosensor for Binding Kinetics of SARS-CoV-2 S Protein Using the Electrothermal Effect
- Enhancement of COVID-19 detection time by means of electrothermal force
- Modulation of Active Sites in Supported Au38(SC2H4Ph)24 Cluster Catalysts: Effect of Atmosphere and Support Material
- Pd 2 Au 36 (SR) 24 cluster: structure studies
مجلات النشر
- IEEE Sensors Journal × 6
- The European Physical Journal Plus × 4
- Plasmonics × 2
- Scientific Reports × 2
- Microfluidics and Nanofluidics × 2
- Indian Journal of Physics × 2
المنشورات حسب السنة
- 20267
- 20257
- 20243
- 20238
- 20224
- 20211
- 20152
التعاون العلمي
المؤسسات الشريكة : University of Monastir · Majmaah University
بلدان المؤلفين المشاركين : السعودية
المؤلفون المشاركون
- Fraj Echouchene
- Mohamed Hichem Gazzah
- Chérif Dridi
- Ibrahim Ben Mariem
- Randa Khemiri
- Hafedh Belmabrouk
- Lamia Guedri-Knani
- Asma Jemmali
- Dhouha Grina
- Maissa Belkhiria
- Yosra Saad
- Maroua Moslah
البيانات البيبليوغرافية مصدرها OpenAlex (قاعدة مفتوحة).
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