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Iran Executes Four Kurdish Political Prisoners Charged as 'Zionist Spies' - Vimarsana News

Iran Executes Four Kurdish Political Prisoners Charged as 'Zionist Spies'

Iran executes four Kurdish political prisoners accused of espionage, sparking outrage and protests across Kurdistan.

Defiance Echoes: The Unyielding Resistance of Iran's Political Prisoners Against Injustice and Executions - Vimarsana News

Defiance Echoes: The Unyielding Resistance of Iran's Political Prisoners Against Injustice and Executions

On Tuesday, January 30, residents of Kurdistan cities took a united stand by closing their markets and shops, engaging in a collective strike.

Wave of Brutal Executions Continues in Iran: 9 Executions in Two Days - Vimarsana News

Wave of Brutal Executions Continues in Iran: 9 Executions in Two Days

Monday, execution of 5 prisoners, including 4 young Kurdish compatriots; Sunday, 4 executions, including two young Baluch brothers Mrs. Maryam Rajavi

Urgent Appeal to Halt Imminent Execution of Four Ethnic Kurds in Iran - Vimarsana News

Urgent Appeal to Halt Imminent Execution of Four Ethnic Kurds in Iran

The Center for Human Rights in Iran (CHRI) is an independent, nonpartisan, nonprofit organization dedicated to the protection and promotion of human rights in Iran. CHRI investigates and documents rights violations occurring throughout Iran, relying on first-hand accounts to expose abuses that would otherwise go unreported. We bring these violations to the attention of the international community through news articles, briefings, in-depth reports, podcasts, and videos, and work to build support for human rights inside Iran as well. CHRI engages in intensive outreach and international advocacy ...

"Landslide Susceptibility Mapping in a Mountainous Area Using Machine L" by Himan Shahabi, Reza Ahmadi et al. - Vimarsana News

"Landslide Susceptibility Mapping in a Mountainous Area Using Machine L" by Himan Shahabi, Reza Ahmadi et al.

Landslides are a dangerous natural hazard that can critically harm road infrastructure in mountainous places, resulting in significant damage and fatalities. The primary purpose of this study was to assess the efficacy of three machine learning algorithms (MLAs) for landslide susceptibility mapping including random forest (RF), decision tree (DT), and support vector machine (SVM). We selected a case study region that is frequently affected by landslides, the important Kamyaran–Sarvabad road in the Kurdistan province of Iran. Altogether, 14 landslide evaluation factors were input into the MLA...

Source: uow.edu.au