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