سامانه مدیریت امور پژوهشی دانشگاه کردستان | عطااله شیرزادی

نام و نام خانوادگی	عطااله شیرزادی
شغل	عضو هیئت علمی دانشگاه کردستان
تحصیلات	دکترای تخصصی
وبسایت	مشاهده
پست الکترونیک	a [dot] shirzadi [at] uok [dot] ac [dot] ir

	عنوان	مجله
1	Improving the performance of artificial intelligence models using the rotation forest technique for landslide susceptibility mapping	International Journal of Environmental Science and Technology
2	Performance improvement of the linear muskingum flood routing model using optimization algorithms and data assimilation approaches	Natural Hazards
3	Landslide Susceptibility Mapping in a Mountainous Area Using Machine Learning Algorithms	Remote Sensing
4	Spatial Prediction of Landslides Using Hybrid Multi-Criteria Decision-Making Methods: A Case Study of the Saqqez-Marivan Mountain Road in Iran	Land
5	Rangeland species potential mapping using machine learning algorithms	ECOLOGICAL ENGINEERING
6	Towards robust smart data-driven soil erodibility index prediction under different scenarios	Geocarto International
7	ارزیابی حساسیت زمین لغزش با استفاده از مدل جدید ترکیبی الگوریتم مبنا (مطالعه موردی: شهرستان کامیاران، استان کردستان)	پژوهش هاي ژئومورفولوژي كمي
8	Can deep learning algorithms outperform benchmark machine learning algorithms in flood susceptibility modeling?	JOURNAL OF HYDROLOGY
9	پیش بینی حساسیت فرسایش خندقی و مخاطرات آن در حوضۀ آبخیز کلوچه بیجار با استفاده از مدل های پیش بینی کنندۀ مکانی	مديريت مخاطرات محيطي (دانش مخاطرات سابق)
10	پیش بینی مکانی زمین لغزش های سطحی با استفاده از الگوریتم درخت تصمیم متناوب (مطالعۀ موردی: مسیر ارتباطی یوزیدر- دگاگا در استان کردستان)	مهندسي اكوسيستم بيابان
11	Application of a Novel Hybrid Machine Learning Algorithm in Shallow Landslide Susceptibility Mapping in a Mountainous Area	Frontiers in Environmental Science
12	A Robust Deep-Learning Model for Landslide Susceptibility Mapping: A Case Study of Kurdistan Province, Iran	SENSORS
13	Predicting sustainable arsenic mitigation using machine learning techniques	ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY
14	Landslide susceptibility modeling based on remote sensing data and data mining techniques	Environmental Earth Sciences
15	A comparison study on the quantitative statistical methods for spatial prediction of shallow landslides (case study: Yozidar-Degaga Route in Kurdistan Province, Iran)	Environmental Earth Sciences
16	Swarm intelligence optimization of the group method of data handling using the cuckoo search and whale optimization algorithms to model and predict landslides	APPLIED SOFT COMPUTING
17	Efficiency of artificial neural networks in determining scour depth at composite bridge piers	International Journal of River Basin Management
18	Different sampling strategies for predicting landslide susceptibilities are deemed less consequential with deep learning	SCIENCE OF THE TOTAL ENVIRONMENT
19	A novel hybrid approach of landslide susceptibility modelling using rotation forest ensemble and different base classifiers	Geocarto International
20	پهنه بندی خطر سیلاب در شهر سنندج با استفاده از مدل های ترکیبی شاخص آماری و تابع شواهد قطعی	مطالعات شهري
21	Flash flood susceptibility mapping using a novel deep learning model based on deep belief network, back propagation and genetic algorithm	Geoscience Frontiers
22	Performance Evaluation of Sentinel-2 and Landsat 8 OLI Data for Land Cover/Use Classification Using a Comparison between Machine Learning Algorithms	Remote Sensing
23	Deep learning neural networks for spatially explicit prediction of flash flood probability	Geoscience Frontiers
24	A novel ensemble learning based on Bayesian Belief Network coupled with an extreme learning machine for flash flood susceptibility mapping	Engineering Applications of Artificial Intelligence
25	Performance Evaluation and Comparison of Bivariate Statistical-Based Artificial Intelligence Algorithms for Spatial Prediction of Landslides	ISPRS International Journal of Geo-Information
26	New Ensemble Models for Shallow Landslide Susceptibility Modeling in a Semi-Arid Watershed	FORESTS
27	A comparative study of support vector machine and logistic model tree classifiers for shallow landslide susceptibility modeling	Environmental Earth Sciences
28	Spatial Prediction of Landslide Susceptibility Using GIS-Based Data Mining Techniques of ANFIS with Whale Optimization Algorithm (WOA) and Grey Wolf Optimizer (GWO)	Applied Sciences-Basel
29	Towards an Ensemble Machine Learning Model of Random Subspace Based Functional Tree Classifier for Snow Avalanche Susceptibility Mapping	IEEE Access
30	GIS-Based Machine Learning Algorithms for Gully Erosion Susceptibility Mapping in a Semi-Arid Region of Iran	Remote Sensing
31	Comparison of Support Vector Machine, Bayesian Logistic Regression, and Alternating Decision Tree Algorithms for Shallow Landslide Susceptibility Mapping along a Mountainous Road in the West of Iran	Applied Sciences-Basel
32	Daily Water Level Prediction of Zrebar Lake (Iran): A Comparison between M5P, Random Forest, Random Tree and Reduced Error Pruning Trees Algorithms	ISPRS International Journal of Geo-Information
33	Shallow Landslide Susceptibility Mapping: A Comparison between Logistic Model Tree, Logistic Regression, Naïve Bayes Tree, Artificial Neural Network, and Support Vector Machine Algorithms	International Journal of Environmental Research and Public Health
34	Landslide Detection and Susceptibility Modeling on Cameron Highlands (Malaysia): A Comparison between Random Forest, Logistic Regression and Logistic Model Tree Algorithms	FORESTS
35	Landslide Susceptibility Mapping Using Machine Learning Algorithms and Remote Sensing Data in a Tropical Environment	International Journal of Environmental Research and Public Health
36	Hybridized neural fuzzy ensembles for dust source modeling and prediction	ATMOSPHERIC ENVIRONMENT
37	Mapping of Groundwater Spring Potential in Karst Aquifer System Using Novel Ensemble Bivariate and Multivariate Models	Water
38	Shallow Landslide Susceptibility Mapping by Random Forest Base Classifier and Its Ensembles in a Semi-Arid Region of Iran	FORESTS
39	Hybrid Computational Intelligence Methods for Landslide Susceptibility Mapping	Symmetry-Basel
40	A Hybrid Intelligence Approach to Enhance the Prediction Accuracy of Local Scour Depth at Complex Bridge Piers	Sustainability
41	GIS-Based Gully Erosion Susceptibility Mapping: A Comparison of Computational Ensemble Data Mining Models	Applied Sciences-Basel
42	Monitoring and Assessment of Water Level Fluctuations of the Lake Urmia and Its Environmental Consequences Using Multitemporal Landsat 7 ETM+ Images	International Journal of Environmental Research and Public Health
43	Flood susceptibility assessment in Hengfeng area coupling adaptive neuro-fuzzy inference system with genetic algorithm and differential evolution	SCIENCE OF THE TOTAL ENVIRONMENT
44	A hybrid machine learning ensemble approach based on a Radial Basis Function neural network and Rotation Forest for landslide susceptibility modeling: A case study in the Himalayan area, India	International Journal of Sediment Research
45	Development of an Artificial Intelligence Approach for Prediction of Consolidation Coefficient of Soft Soil: A Sensitivity Analysis	The Open Construction & Building Technology Journal
46	پهنه بندی حساسیت زمین لغزش با سامانه اطلاعات جغرافیایی ومقایسه ی کارایی روش های رگرسیون لجستیک و نسبت فراوانی در(مطالعه موردی: حوزه ی آبخیز چشمیدر، کردستان)	مجله كاربرد سيستم اطلاعات جغرافيايي و سنجش از دور در برنامه ريزي
47	پیش بینی مکانی زمین لغزش های سطحی با استفاده از مدل های آماری و یادگیری ماشین (مطالعۀ موردی: حوضه سرخون)	مرتع و آبخيزداري (منابع طبيعي ايران)-دانشگاه تهران
48	بررسی مقایسه ای مدل های ماشین پشتیبان بردار و لجستیک درختی برای ارزیابی حساسیت زمین لغزش-مطالعه موردی: شهرستان کامیاران، استان کردستان	فصل نامه جغرافياي طبيعي لار دانشگاه آزاد لارستان
49	Flood susceptibility assessment in Hengfeng area coupling adaptiveneuro-fuzzy inference system with genetic algorithm and differential evolution	SCIENCE OF THE TOTAL ENVIRONMENT
50	ارزیابی حساسیت زمین لغزش با استفاده از الگوریتم ماشین پشتیبان بردار (مطالعه موردی: شهرستان کامیاران، استان کردستان)	پژوهش هاي ژئومورفولوژي كمي
51	SWPT: An automated GIS-based tool for prioritization of sub-watersheds based on morphometric and topo-hydrological factors	Geoscience Frontiers
52	Spatial prediction of landslide susceptibility by combining evidential belief function, logistic regression and logistic model tree	Geocarto International
53	A Hybrid Computational Intelligence Approach to Groundwater Spring Potential Mapping	Water
54	SEVUCAS: A Novel GIS-Based Machine Learning Software for Seismic Vulnerability Assessment	SENSORS
55	Flood Detection and Susceptibility Mapping Using Sentinel-1 Remote Sensing Data and a Machine Learning Approach: Hybrid Intelligence of Bagging Ensemble Based on K-Nearest Neighbor Classifier	Remote Sensing
56	A novel hybrid approach of Bayesian Logistic Regression and its ensembles for landslide susceptibility assessment	Geocarto International
57	A Novel Ensemble Artificial Intelligence Approach for Gully Erosion Mapping in a Semi-Arid Watershed (Iran)	SENSORS
58	Flood Spatial Modeling in Northern Iran Using Remote Sensing and GIS: A Comparison between Evidential Belief Functions and Its Ensemble with a Multivariate Logistic Regression Model	Remote Sensing
59	Landslide Susceptibility Assessment by Novel Hybrid Machine Learning Algorithms	Sustainability
60	Development of a Novel Hybrid Intelligence Approach for Landslide Spatial Prediction	Applied Sciences-Basel
61	Flood susceptibility assessment using integration of adaptive network-based fuzzy inference system (ANFIS) and biogeography-based optimization (BBO) and BAT algorithms (BA)	Geocarto International
62	Novel hybrid artificial intelligence approach of bivariate statistical-methods-based kernel logistic regression classifier for landslide susceptibility modeling	Bulletin of Engineering Geology and the Environment
63	Flood susceptibility mapping in Dingnan County (China) using adaptive neuro-fuzzy inference system with biogeography based optimization and imperialistic competitive algorithm	JOURNAL OF ENVIRONMENTAL MANAGEMENT
64	A novel ensemble approach of bivariate statistical-based logistic model tree classifier for landslide susceptibility assessment	Geocarto International
65	Land cover change mapping using a combination of Sentinel-1 data ‎and multispectral satellite imagery: A case study of Sanandaj County, Kurdistan, Iran	Applied Ecology and Environmental Research
66	Hybrid Machine Learning Approaches for Landslide Susceptibility Modeling	FORESTS
67	Landslide Susceptibility Modeling Based on GIS and Novel Bagging-Based Kernel Logistic Regression	Applied Sciences-Basel
68	A comparative assessment of flood susceptibility modeling using Multi-Criteria Decision-Making Analysis and Machine Learning Methods	JOURNAL OF HYDROLOGY
69	Uncertainties of prediction accuracy in shallow landslide modeling: Sample size and raster resolution	CATENA
70	Mapping Groundwater Potential Using a Novel Hybrid Intelligence Approach	WATER RESOURCES MANAGEMENT
71	Shallow Landslide Prediction Using a Novel Hybrid Functional Machine Learning Algorithm	Remote Sensing
72	Landslide spatial modelling using novel bivariate statistical based Naïve Bayes, RBF Classifier, and RBF Network machine learning algorithms	SCIENCE OF THE TOTAL ENVIRONMENT
73	Sinkhole susceptibility mapping: a comparison between Bayes-based machine learning algorithms	LAND DEGRADATION & DEVELOPMENT
74	Landslide susceptibility modeling using Reduced Error Pruning Trees and different ensemble techniques: Hybrid machine learning approaches	CATENA
75	Landslide susceptibility assessment at the Wuning area, China: a comparison between multi-criteria decision making, bivariate statistical and machine learning methods	Natural Hazards
76	مقایسه مدل های رگرسیون لجستیک و بیزین رگرسیون لجستیک به منظور پیش بینی مکانی حرکت های توده ای استان	پژوهش هاي ژئومورفولوژي كمي
77	Novel GIS Based Machine Learning Algorithms for Shallow Landslide Susceptibility Mapping	SENSORS
78	Novel Hybrid Evolutionary Algorithms for Spatial Prediction of Floods	Scientific Reports
79	Landslide Detection and Susceptibility Mapping by AIRSAR Data Using Support Vector Machine and Index of Entropy Models in Cameron Highlands, Malaysia	Remote Sensing
80	A Novel Integrated Approach of Relevance Vector Machine Optimized by Imperialist Competitive Algorithm for Spatial Modeling of Shallow Landslides	Remote Sensing
81	New Hybrids of ANFIS with Several Optimization Algorithms for Flood Susceptibility Modeling	Water
82	Land Subsidence Susceptibility Mapping in South Korea Using Machine Learning Algorithms	SENSORS
83	Novel forecasting approaches using combination of machine learning and statistical models for flood susceptibility mapping	JOURNAL OF ENVIRONMENTAL MANAGEMENT
84	A comparative assessment of decision trees algorithms for flash flood susceptibility modeling at Haraz watershed, northern Iran	SCIENCE OF THE TOTAL ENVIRONMENT
85	A novel hybrid artiﬁcial intelligence approach based on the rotation forest ensemble and na€ ıve Bayes tree classiﬁers for a landslide susceptibility assessment in Langao County, China	Geomatics, Natural Hazards and Risk
86	A Novel Hybrid Artificial Intelligence Approach for Flood Susceptibility Assessment	ENVIRONMENTAL MODELLING & SOFTWARE
87	Rock fall susceptibility assessment along a mountainous road: an evaluation of bivariate statistic, analytical hierarchy process and frequency ratio	Environmental Earth Sciences
88	A comparative study between popular statistical and machine learning methods for simulating volume of landslides	CATENA
89	ارزیابی مدل رگرسیون لجستیک و منطق فازی در تهیه نقشه حساسیت به زمین لغز شهای شهر سنندج	پژوهش هاي آبخيزداري (پژوهش و سازندگي سابق)
90	معرفی یک مدل جدید ترکیبی الگوریتم مبنا به منظور پیش بینی حساسیت زمین لغزشهای سطحی اطراف شهر بیجار	جغرافيا و توسعه
91	Shallow landslide susceptibility assessment using a novel hybrid intelligence approach	Environmental Earth Sciences
92	مقایسه روش های شبکه عصبی مصنوعی و رگرسیون چند متغیره در تخمین مقادیر آرسنیک خاک (مطالعه موردی :استان کردستان، ایران)	پژوهش هاي آبخيزداري (پژوهش و سازندگي سابق)
93	پهنه بندی احتمال حضور آرسنیک در برخی خاک های آهکی دشت قروه با استفاده از رگرسیون لجستیک	پژوهش هاي خاك (علوم خاك و آب)
94	مقایسه مدل های رگرسیون لجستیک و نسبت فراوانی در پهنه بندی خطر ریزش سنگ	مجله منابع طبيعي ايران
95	A GIS-based logistic regression model in rock-fall susceptibility mapping along a mountainous road: Salavat Abad case study, Kurdistan, Iran	Natural Hazards
96	برآورد هیدروگراف واحد مصنوعی با استفاده از تحلیل منطقه ای سیلاب و پارامترهای ژئومورفولوژیکی (مطالعه موردی: حوضه های آبخیز مارنج و کانی سواران، کردستان)	علوم آب و خاک (علوم و فنون کشاورزی و منابع طبیعی سابق)