- earthquake and tectonic studies
- Seismic Waves and Analysis
- Seismology and Earthquake Studies
- Earthquake Detection and Analysis
- Seismic Imaging and Inversion Techniques
- High-pressure geophysics and materials
- Seismic Performance and Analysis
- Landslides and related hazards
- Geophysics and Sensor Technology
- Quantum Computing Algorithms and Architecture
- Advanced Fiber Optic Sensors
- Structural Health Monitoring Techniques
- Neural Networks and Applications
- Geological Modeling and Analysis
- Neural Networks and Reservoir Computing
- Geotechnical Engineering and Analysis
- Geotechnical Engineering and Underground Structures
- Geological and Geochemical Analysis
- Computational Physics and Python Applications
- Underground infrastructure and sustainability
- Image Retrieval and Classification Techniques
- Analytical Chemistry and Sensors
- Machine Learning in Materials Science
- Computer Graphics and Visualization Techniques
- Earthquake and Disaster Impact Studies
Ferdowsi University of Mashhad
2008-2024
Pennsylvania Academy of Science
2023
D-Wave Systems (Canada)
2019-2020
Islamic Azad University of Ayatollah Amoli
2020
Islamic Azad University, Isfahan
2016
Malek Ashtar University of Technology
2016
Islamic Azad University, Tehran
2009-2011
Arak University
2009
Kyushu University
1995-2000
Variational autoencoders (VAEs) are powerful generative models with the salient ability to perform inference. Here, we introduce a quantum variational autoencoder (QVAE): VAE whose latent process is implemented as Boltzmann machine (QBM). We show that our model can be trained end-to-end by maximizing well-defined loss-function: 'quantum' lower-bound approximation of log-likelihood. use Monte Carlo (QMC) simulations train and evaluate performance QVAEs. To achieve best performance, first...
The development of quantum-classical hybrid (QCH) algorithms is critical to achieve state-of-the-art computational models. A QCH variational autoencoder (QVAE) was introduced in reference [1] by some the authors this paper. QVAE consists a classical auto-encoding structure realized traditional deep neural networks perform inference and generation from, discrete latent space. generative process formalized as thermal sampling from quantum Boltzmann machine (QBM). This setup allows...
Folic acid is an important food additive found in most products. This research study focused on making a powerful analytical device to determine the folic concentration An electrochemical amplified sensor based paste electrode (PE) modified with CuO-CNTs and 1-butyl-2,3-dimethylimidazolium hexafluorophosphate (BDHFP) was fabricated used electro-oxidation of acid. Oxidation current improved about 2.8 times at PE/M/CuO-CNTs/BDHFP compared that PE. In addition, irreversible pH dependent...
A simultaneous inversion for three‐dimensional velocity structure and hypocentral parameters is used to determine the tomographic images of backarc Kyushu, southwestern Japan. The data in imaging are first arrival times 2736 local earthquakes recorded at 305 stations a wide region from western Japan eastern China. Additional provided by including 357 teleseismic earthquakes. We got high resolution uppermost mantle P waves least depth range 150 km, latitude 30°–34°N longitude 128°–132°E....
We investigate the hypocenter distribution of aftershocks December 26, 2003 Bam earthquake M w 6.5 by using a temporal seismic network. The hypocenters distribute linearly over about 20 km in parallel with line 3.5 west geological fault and extend from south city to heavily damaged area eastern part including historical mud brick citadel “Arg‐e‐Bam”. Based on distribution, we propose schematic 3‐D structural model new that have named Arg‐e‐Bam fault. suggest occurred not but is located just...
This paper introduces a highly sensitive, rapid, and low-cost sensing method for online analysis of engine oil quality predicts the exact time expiration. The multi-mode optical fiber is tapered with great accuracy in measuring fresh expired refractive indices mechanical systems. In this paper, length diameter area are optimized by chemical etching different periods using 20% (V/V) hydrofluoric acid. acts as external medium sensor, any changes quality, particle size, pollution will...
Genetic algorithms, which mimic evolutionary processes to solve optimization problems, can be enhanced by using powerful semi-local search algorithms as mutation operators. Here, we introduce reverse quantum annealing, a class of evolutions that used for performing families quasi-local or quasi-nonlocal starting from classical state, novel sources mutations. Reverse annealing enables the development genetic use fluctuation mutations and mechanisms crossovers -- refer these Quantum-Assisted...
<p>Shear wave velocity, V<sub>s</sub>, is one of the important input parameters in seismic response analysis ground. Various methods have been examined to measure soil V<sub>s</sub> directly. Direct measurement time consuming and costly, therefore many researchers trying update empirical relationships between other geotechnical properties soils such as SPT Blow count, SPT-N. In this study existence a statistical relationship SPT-N<sub>60 </sub>and...
Summary This talk explores the potential of quantum computing and current market status. It focuses on PASQAL's technology using neutral atoms for scalable computing. The main categories algorithms designed atom computers their real-world applications are summarized. energy industry has numerous applications, including resource management, grid optimization, complex system simulation, battery design. Three disruptive examples highlighted. Integration hardware with HPC centers is crucial....
Recent years have seen more interest from researchers in image encryption using chaotic signals. A new method was proposed for steganography this article which two signals specifying the location of different parts message picture. An 80-bit key used to reach preliminary measures One advantages is its security caused by and higher range PSNR(42.06).
The 2003 Bam, Iran, earthquake (Mw = 6.6) was recorded by the BAM accelerometer station. Since causative fault located just below city, main shock, a foreshock and several local aftershocks. To study scenario of rupturing, we simulated all components observed shock waveform via empirical Green's function method. 28 selected aftershocks single are used to simulate in frequency range 0.5–5 Hz. events were very close station, some small may not have similar path effects shock. Therefore, it is...
در این مطالعه زمینریختشناسی مهندسی محدوده شهر مشهد براساس عکسهای هوایی، اطلاعات 180 چاه پمپاژ آب آشامیدنی و نیز 1500 گمانه ژئوتکنیکی سطح مورد بررسی قرار گرفته است. دادههای یاد شده، به 7 پهنه شامل رخنمون سنگی، کوهپایه، مخروطافکنه رودخانه گلستان، رودخانههای جنوبی، طرق، دشت هموار آبرفتهای جوان تقسیم شده بر اساس گمانههای ویژگیهای زمینشناسی حاکم هر محیط تا ژرفای 10 متری گرفت. نتایج نشان میدهد که بافت خاک غالب کوهپایهای مخروطافکنههای جنوبی شنی بوده گلستان ماسه شن هستند حالی طرق...
A fundamental element in seismic hazard assessment studies is the prediction of maximum values ground accelerations. This achieved through an attenuation relationship, also known as motion equation (GMPE). Seismic design structures generally assumes occurrence a large earthquake on nearby fault. The predictions from GMPE are linked to magnitude, distance, and local site conditions. Critical near‑fault motions have unique characteristics such magnitude saturation distance saturation. To...
Today, high energy electro-magnetic radiation or charged particles are widely used for medical treatments of certain patients. Precise prediction and measurements deposition any types on tissue is the most important portion therapy. In this research, special fiber optics doped either with Phosphor (P), Germanium (Ge) Erbium (Er) various doping concentrations as a sensor irradiated by Co-60 source 169 cGy per minute 3 minutes. During irradiation, Radiation Induced Attenuation (RIA) was...