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کلیدواژه: Biotechnology,Innovation pathways,Future-oriented Assessment,Converging Technologies
نویسندگان: AHMADIAN A.A., Ghazi noory s.s., SAGHAFI F., Ghazi noori s.s.,
ناشر: زیست فناوری - JOURNAL OF BIOTECHNOLOGY
Aims Emerging sciences and technologies have huge potential in the field of innovation; therefore, they should be protected against large uncertainties caused by unknown. The aim of this study was to evaluate biotechnology forecasting innovation pathways based on its convergence with other technolog... ادامه
سال:2018
مشاهده/دانلود
کلیدواژه: Metal Matrix Composite,Drilling,Thrust Force,Surface Roughness,Optimization
نویسندگان: Tahmasbi V., Sousanabadi Farahani A., Baghi M.H., Ghazi khansari D.
ناشر: مهندسی مکانیک مدرس - Modares Mechanical Engineering
Metal composites have received attention from various industries due to their excellent properties, such as a high strength-to-weight ratio and wear resistance. However, due to the presence of hard and abrasive particles, the challenges have always faced machining. Therefore, studying the effective ... ادامه
سال:2023
کلیدواژه:
نویسندگان: A. Sa’ad ؛ A. A. Pitchay
ناشر:
Financing small and medium enterprises (SMEs) is one of the most important mechanisms to boost economic growth in both developed and developing nations. The contributions of SMEs in many countries’ gross domestic product (GDP) have been overwhelming. SMEs improve job creation in all sectors of the e... ادامه
سال:2020
کلیدواژه: Hybrid Petri Nets,Current sample time signals,Capsubot robot,Genetic algorithm
نویسندگان: Ahangarani Farahani A., DIDEBAN A.
ناشر: کنترل و بهینه سازی در ریاضیات کاربردی - CONTROL AND OPTIMIZATION IN APPLIED MATHEMATICS
The existing modeling methods using Petri Nets, have been successfully applied to model and analyze dynamic systems. However, these methods are not capable of modeling all dynamic systems such as systems with the current sample time signals, systems including various subsystems and multi-mode system... ادامه
کلیدواژه: Artificial Neural Network,Artificial Bee Colony Algorithm,Roller-Compacted Concrete,Compressive strength
نویسندگان: Ranjbar A., Barahmand N., Ghanbari A.
ناشر: - International Journal of Engineering
This study implemented the artificial bee colony (ABC) metaheuristic algorithm to optimize the Artificial Neural Network (ANN) values for improving the accuracy of model and evaluate the developed model. Compressive strength of RCC was investigated using mix design materials in three forms, namely v... ادامه
کلیدواژه: Water and Wastewater Industry,Public-Private Partnership,Data Mining,Forecasting,Outsourcing
نویسندگان: ESKANDARI M., Taghavifard M. T., RAEESI VANANI I., Ghazi Noori S. S.
ناشر: آب و فاضلاب - Water and Wastewater
One of the pillars of any country’ s development is access to safe water and sanitation, so it is important to execute water and wastewater projects in the shortest possible time. In this regard, considering the emergence of various methods of partnership, choosing the right approach has beco... ادامه
سال:2021
کلیدواژه: Artificial Network,Decision Tree,Rainfall-Runoff Modeling,Wavelet Transform
نویسندگان: Davanlou Tajbakhsh A., NOURANI V., Molajou A.
ناشر: تحقیقات منابع آب ایران - Iran-Water Resources Research (IWRR)
Rainfall-runoff process is one of the most important and complex phenomena in the hydrological cycle and therefore different views have been presented for modeling the phenomenon. Obviously, the recognition of the behavior of the catchment can play an important role in selecting the appropriate mode... ادامه
سال:2019
کلیدواژه: benevolent loan ؛ Islamic finance ؛ mesbah finance ؛ Microfinance ؛ Qard al-hasan
نویسندگان: A. Izadyar ؛ Feroza Ragnath
ناشر: Journal of Economic & Financial Studies
Bound by religious or moral beliefs of the participants, benevolent loan, Qard al-hasan, is an interest free loan in which only the return of the capital is required during the term of the loan. Lack of institutional investor participation, as well as high administrative fees, are some of the major ... ادامه
سال:2014
کلیدواژه: IDS,Cloud Computing,Fog Computing,Anomaly Detection,IoT
نویسندگان: Jafar Gholi Beik A., Shiri Ahmad Abadi M. E., Rezakhani A.
ناشر: پدافند الکترونیکی و سایبری - JOURNAL OF ELECTRONIC AND CYBER DEFENCE
Today, due to highly advanced attacks and intrusions, it has become very difficult to detect IoT attacks in cloud environments. Other problems with cloud systems include low error detection accuracy, false positive rates, and long computation times. In the proposed method, we present a hybrid intrus... ادامه
کلیدواژه: Circular weir,Discharge coefficient,Modeling,ANFIS,ANFIS-FA
نویسندگان: ALIZADEH A., YAGHOUBI B., SHABANLOU S.
ناشر: علوم آب و خاک (علوم و فنون کشاورزی و منابع طبیعی) - Journal of Water and Soil Science
In this study, the discharge coefficient of sharp-crested weirs located on circular channels was modeled using the ANFIS and ANFIS-Firefly (ANFIS-FA) algorithm. Also, the Monte Carlo simulations (MCs) were used to enhance the compatibilities of the soft computing models. However, the k-fold cross va... ادامه
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