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	Spatiotemporal dynamics of geotourism resilience: Machine learning methodologies and key insights	International Journal of Geoheritage and Parks
2	Novel deep learning algorithm in soil erodibility factor predicting at a continental scale	International Soil and Water Conservation Research
3	Leveraging imbalanced dataset in urban flood susceptibility prediction: A case study of Sanandaj City	Journal of Hydrology
4	Urban flood susceptibility mapping using deep and machine learning algorithms as a management tool: A case study of Sanandaj City, Iran	Ecological Indicators
5	A comparison between different machine learning techniques for predicting heating energy consumption for residential buildings in a cold climate	Energy Efficiency
6	A novel hybrid machine learning approach for δ13C spatial prediction in polish hard-water lakes	Ecological Informatics
7	شبیه سازی آبشستگی پشت دیواره های ساحلی به روش لاگرانژی با استفاده از مدل رئولوژی (I)𝜇	علوم آب و خاک
8	نفوذپذیری آب به داخل خاک در بخش‌های مختلف یک دامنه در فصول مختلف سال	پژوهش‌های حفاظت آب و خاک
9	Developing a Semi-Supervised Strategy in Time Series Mapping of Wetland Covers: A Case Study of Zrebar Wetland, Iran	Earth Systems and Environment
10	پیش‌بینی حساسیت‌پذیری سیلاب شهری با استفاده از مدل ترکیبی فازی- دلفی در شهر سنندج	مدل سازی و مدیریت آب و خاک
11	A systematic review of Muskingum flood routing techniques	Hydrological Sciences Journal
12	Improving the performance of artificial intelligence models using the rotation forest technique for landslide susceptibility mapping	International Journal of Environmental Science and Technology
13	Performance improvement of the linear muskingum flood routing model using optimization algorithms and data assimilation approaches	Natural Hazards
14	Landslide Susceptibility Mapping in a Mountainous Area Using Machine Learning Algorithms	Remote Sensing
15	Spatial Prediction of Landslides Using Hybrid Multi-Criteria Decision-Making Methods: A Case Study of the Saqqez-Marivan Mountain Road in Iran	Land
16	Rangeland species potential mapping using machine learning algorithms	ECOLOGICAL ENGINEERING
17	Towards robust smart data-driven soil erodibility index prediction under different scenarios	Geocarto International
18	ارزیابی حساسیت زمین لغزش با استفاده از مدل جدید ترکیبی الگوریتم مبنا (مطالعه موردی: شهرستان کامیاران، استان کردستان)	پژوهش هاي ژئومورفولوژي كمي
19	Can deep learning algorithms outperform benchmark machine learning algorithms in flood susceptibility modeling?	JOURNAL OF HYDROLOGY
20	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)
21	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
22	Application of a Novel Hybrid Machine Learning Algorithm in Shallow Landslide Susceptibility Mapping in a Mountainous Area	Frontiers in Environmental Science
23	A Robust Deep-Learning Model for Landslide Susceptibility Mapping: A Case Study of Kurdistan Province, Iran	SENSORS
24	Predicting sustainable arsenic mitigation using machine learning techniques	ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY
25	Landslide susceptibility modeling based on remote sensing data and data mining techniques	Environmental Earth Sciences
26	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
27	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
28	Efficiency of artificial neural networks in determining scour depth at composite bridge piers	International Journal of River Basin Management
29	Different sampling strategies for predicting landslide susceptibilities are deemed less consequential with deep learning	SCIENCE OF THE TOTAL ENVIRONMENT
30	A novel hybrid approach of landslide susceptibility modelling using rotation forest ensemble and different base classifiers	Geocarto International
31	پهنه بندی خطر سیلاب در شهر سنندج با استفاده از مدل های ترکیبی شاخص آماری و تابع شواهد قطعی	مطالعات شهري
32	Flash flood susceptibility mapping using a novel deep learning model based on deep belief network, back propagation and genetic algorithm	Geoscience Frontiers
33	Performance Evaluation of Sentinel-2 and Landsat 8 OLI Data for Land Cover/Use Classification Using a Comparison between Machine Learning Algorithms	Remote Sensing
34	Deep learning neural networks for spatially explicit prediction of flash flood probability	Geoscience Frontiers
35	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
36	Performance Evaluation and Comparison of Bivariate Statistical-Based Artificial Intelligence Algorithms for Spatial Prediction of Landslides	ISPRS International Journal of Geo-Information
37	New Ensemble Models for Shallow Landslide Susceptibility Modeling in a Semi-Arid Watershed	FORESTS
38	A comparative study of support vector machine and logistic model tree classifiers for shallow landslide susceptibility modeling	Environmental Earth Sciences
39	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
40	Towards an Ensemble Machine Learning Model of Random Subspace Based Functional Tree Classifier for Snow Avalanche Susceptibility Mapping	IEEE Access
41	GIS-Based Machine Learning Algorithms for Gully Erosion Susceptibility Mapping in a Semi-Arid Region of Iran	Remote Sensing
42	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
43	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
44	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
45	Landslide Detection and Susceptibility Modeling on Cameron Highlands (Malaysia): A Comparison between Random Forest, Logistic Regression and Logistic Model Tree Algorithms	FORESTS
46	Landslide Susceptibility Mapping Using Machine Learning Algorithms and Remote Sensing Data in a Tropical Environment	International Journal of Environmental Research and Public Health
47	Hybridized neural fuzzy ensembles for dust source modeling and prediction	ATMOSPHERIC ENVIRONMENT
48	Mapping of Groundwater Spring Potential in Karst Aquifer System Using Novel Ensemble Bivariate and Multivariate Models	Water
49	Shallow Landslide Susceptibility Mapping by Random Forest Base Classifier and Its Ensembles in a Semi-Arid Region of Iran	FORESTS
50	Hybrid Computational Intelligence Methods for Landslide Susceptibility Mapping	Symmetry-Basel
51	A Hybrid Intelligence Approach to Enhance the Prediction Accuracy of Local Scour Depth at Complex Bridge Piers	Sustainability
52	GIS-Based Gully Erosion Susceptibility Mapping: A Comparison of Computational Ensemble Data Mining Models	Applied Sciences-Basel
53	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
54	Flood susceptibility assessment in Hengfeng area coupling adaptive neuro-fuzzy inference system with genetic algorithm and differential evolution	SCIENCE OF THE TOTAL ENVIRONMENT
55	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
56	Development of an Artificial Intelligence Approach for Prediction of Consolidation Coefficient of Soft Soil: A Sensitivity Analysis	The Open Construction & Building Technology Journal
57	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
58	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
59	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
60	Flood susceptibility assessment in Hengfeng area coupling adaptiveneuro-fuzzy inference system with genetic algorithm and differential evolution	SCIENCE OF THE TOTAL ENVIRONMENT
61	ارزیابی حساسیت زمین لغزش با استفاده از الگوریتم ماشین پشتیبان بردار (مطالعه موردی: شهرستان کامیاران، استان کردستان)	پژوهش هاي ژئومورفولوژي كمي
62	SWPT: An automated GIS-based tool for prioritization of sub-watersheds based on morphometric and topo-hydrological factors	Geoscience Frontiers
63	Spatial prediction of landslide susceptibility by combining evidential belief function, logistic regression and logistic model tree	Geocarto International
64	A Hybrid Computational Intelligence Approach to Groundwater Spring Potential Mapping	Water
65	SEVUCAS: A Novel GIS-Based Machine Learning Software for Seismic Vulnerability Assessment	SENSORS
66	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
67	A novel hybrid approach of Bayesian Logistic Regression and its ensembles for landslide susceptibility assessment	Geocarto International
68	A Novel Ensemble Artificial Intelligence Approach for Gully Erosion Mapping in a Semi-Arid Watershed (Iran)	SENSORS
69	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
70	Landslide Susceptibility Assessment by Novel Hybrid Machine Learning Algorithms	Sustainability
71	Development of a Novel Hybrid Intelligence Approach for Landslide Spatial Prediction	Applied Sciences-Basel
72	Flood susceptibility assessment using integration of adaptive network-based fuzzy inference system (ANFIS) and biogeography-based optimization (BBO) and BAT algorithms (BA)	Geocarto International
73	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
74	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
75	A novel ensemble approach of bivariate statistical-based logistic model tree classifier for landslide susceptibility assessment	Geocarto International
76	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
77	Hybrid Machine Learning Approaches for Landslide Susceptibility Modeling	FORESTS
78	Landslide Susceptibility Modeling Based on GIS and Novel Bagging-Based Kernel Logistic Regression	Applied Sciences-Basel
79	A comparative assessment of flood susceptibility modeling using Multi-Criteria Decision-Making Analysis and Machine Learning Methods	JOURNAL OF HYDROLOGY
80	Uncertainties of prediction accuracy in shallow landslide modeling: Sample size and raster resolution	CATENA
81	Mapping Groundwater Potential Using a Novel Hybrid Intelligence Approach	WATER RESOURCES MANAGEMENT
82	Shallow Landslide Prediction Using a Novel Hybrid Functional Machine Learning Algorithm	Remote Sensing
83	Landslide spatial modelling using novel bivariate statistical based Naïve Bayes, RBF Classifier, and RBF Network machine learning algorithms	SCIENCE OF THE TOTAL ENVIRONMENT
84	Sinkhole susceptibility mapping: a comparison between Bayes-based machine learning algorithms	LAND DEGRADATION & DEVELOPMENT
85	Landslide susceptibility modeling using Reduced Error Pruning Trees and different ensemble techniques: Hybrid machine learning approaches	CATENA
86	Landslide susceptibility assessment at the Wuning area, China: a comparison between multi-criteria decision making, bivariate statistical and machine learning methods	Natural Hazards
87	مقایسه مدل های رگرسیون لجستیک و بیزین رگرسیون لجستیک به منظور پیش بینی مکانی حرکت های توده ای استان	پژوهش هاي ژئومورفولوژي كمي
88	Novel GIS Based Machine Learning Algorithms for Shallow Landslide Susceptibility Mapping	SENSORS
89	Novel Hybrid Evolutionary Algorithms for Spatial Prediction of Floods	Scientific Reports
90	Landslide Detection and Susceptibility Mapping by AIRSAR Data Using Support Vector Machine and Index of Entropy Models in Cameron Highlands, Malaysia	Remote Sensing
91	A Novel Integrated Approach of Relevance Vector Machine Optimized by Imperialist Competitive Algorithm for Spatial Modeling of Shallow Landslides	Remote Sensing
92	New Hybrids of ANFIS with Several Optimization Algorithms for Flood Susceptibility Modeling	Water
93	Land Subsidence Susceptibility Mapping in South Korea Using Machine Learning Algorithms	SENSORS
94	Novel forecasting approaches using combination of machine learning and statistical models for flood susceptibility mapping	JOURNAL OF ENVIRONMENTAL MANAGEMENT
95	A comparative assessment of decision trees algorithms for flash flood susceptibility modeling at Haraz watershed, northern Iran	SCIENCE OF THE TOTAL ENVIRONMENT
96	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
97	A Novel Hybrid Artificial Intelligence Approach for Flood Susceptibility Assessment	ENVIRONMENTAL MODELLING & SOFTWARE
98	Rock fall susceptibility assessment along a mountainous road: an evaluation of bivariate statistic, analytical hierarchy process and frequency ratio	Environmental Earth Sciences
99	A comparative study between popular statistical and machine learning methods for simulating volume of landslides	CATENA
100	ارزیابی مدل رگرسیون لجستیک و منطق فازی در تهیه نقشه حساسیت به زمین لغز شهای شهر سنندج	پژوهش هاي آبخيزداري (پژوهش و سازندگي سابق)
101	معرفی یک مدل جدید ترکیبی الگوریتم مبنا به منظور پیش بینی حساسیت زمین لغزشهای سطحی اطراف شهر بیجار	جغرافيا و توسعه
102	Shallow landslide susceptibility assessment using a novel hybrid intelligence approach	Environmental Earth Sciences
103	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)
104	پهنه بندی احتمال حضور آرسنیک در برخی خاک های آهکی دشت قروه با استفاده از رگرسیون لجستیک	پژوهش هاي خاك (علوم خاك و آب)
105	مقایسه مدل های رگرسیون لجستیک و نسبت فراوانی در پهنه بندی خطر ریزش سنگ	مجله منابع طبيعي ايران
106	A GIS-based logistic regression model in rock-fall susceptibility mapping along a mountainous road: Salavat Abad case study, Kurdistan, Iran	Natural Hazards
107	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)