Koksal Karadas1, Muhammad Tariq2, Mohammad Masood Tariq3* and Ecevit Eyduran4
Ecevit Eyduran1, Daniel Zaborski2*, Abdul Waheed3, Senol Celik4, Koksal Karadas5 and Wilhelm Grzesiak2
Ali Raza Awan*, Sehrish Firyal, Muhammad Tayyab, Lala Rukh, M. Zia ul Haq, Shagufta Saeed and Muhammad Wasim
Muhammad Jamal Khan1, Abdul Malik2*, Muhammad Shahzad Khattak2, Naveedullah1, Naeem Ijaz3 and Ishaq Ahmad4
Syed Muhammad Hassan Raza1*, Syed Amer Mahmood1, Syeeda Areeba Gillani1, Syed Shehzad Hassan1, Muneeb Aamir1, Muhammad Saifullah1, Mubashar Basheer1, Atif Ahmad1, Saif-ul-Rehman2 and Tariq Ali1
Hassan Boulahyaoui1,2*, Sanaa Alaoui Amine1,3, Marouane Melloul4, Farida Hilali5, Elmostafa El-Fahime1,3, Saad Mrani1,2 and Nadia Touil1,5*
Kulsoom Iftikhar1, Shahzad Anwar1, Izhar Ul Haq1, Muhammad Tahir Khan1 and Sayed Riaz Akbar1
for benign and malignant breast cancer. The proposed method employs an optimal feature classification employing
artificial neural network. The proposed architecture has five input nodes, two hidden layers with eight neurons each
and one output node. Five features (cluster thickness, uniformity of {cell size, cell shape}, marginal attachment and
radius...
Asif Ali Khan*, Nasru Minallah*, Shahbaz Khan**
Atta Ur Rehman, Laiq Hassan, Nasir Ahmad, Kashif Ahmad, Shakirullah
Fawzy Rania1, AboElkhair M.1, Bazid A.M.1, Sultan H.2, Hussien A.H.3
Samah A. Mokbel, Eman A. Ahmed, Hanan F. El-Kammar, Ahmed A. Kheder
Mary A. Sargious1, Hanaa A. Ahmed1, Ragab M. El-Shawarby2, Hatem H. Bakery2, Sherif I. Ramadan3, E. Gus Cothran4 and Ayman Samir Farid5*
Yao Zou, Shien Ren, Miao Xu, Nannan Liang, Xuxin Zhang, Chongxuan Han and Xiaoning Nan
Chukwudi Njoku1*, Inyang Etim-Inyang2, Prince-Charles Itu1 and Arinze Uzoezie1
Jing Fu
Guo-dong Zhao1,2*, He-ying Qian1,2, Yi-ling Zhang1,2, Gang Li1, 2, Jian Tang1, 2 and An-ying Xu1,2*
Muhammad Shaheen1* and Abdullah2
Agus Mulyono
Saba Rashid*, Rehan Ashraf, Hafiza Faseeha Iftikhar, Zohaib Bilal Khan, Samreen Sanawar, Aamina Jamil, Misha Salam Bajwa, Manahil Riaz
Yue Ren1, Ting Jia2, Hao Zhang1, Zhengkun Wang1 and Wanlong Zhu1*
Ahmed Fathy1, Rania A. Hassan2, Essam S. Soliman3*
Dzulhelmi Muhammad Nasir1,*, Suriyanti Su2, Van Lun Low3, Zulqarnain Mohamed1 and Norma-Rashid Yusoff1
Laikun Ma1,2, Jiaojiao Wang1, Shanshan Lyu2 and Jianhua Hou1*
Wei Fang1,2,3, Jiawei Hong1,2,3,4, Zhengyi Fu1,2,3, Jing Hu1,2,3, Gang Yu1,2,3, Zhenhua Ma1,2,3* and Humin Zong5*
Aamir Shakeel1*, Anwar Ali2, Tahir Iqbal1 and Ziad Raza1
Lijiao Wang1, Haibin Chen2*, Hongyan Yu1, Zexian Fu3 and Jianjun Zhao2*
Zhenglei Qiao*, Jie Xing and Fang Li
Rogia SA Gomez*, Said H Mbaga
Key words: Afforestation, Confluence Points, MCDA, AHP, Deforestation, AOI.
...Key words: Soil Analysis, Agro-ecological Zones, Farm Plantations, Soil Texture and Organic Matter, Nitrogen and Phosphorous.
...NDVI (Normalized difference vegetation index) was found to be a good predictor of forest vegetation of the area, parti...
Zahid Fazal1, Jaweria Gul2, Muhammad Subhan, Khan Sher and Qasir Ali
Bushra Sial1, Arif Muhammad Khan1, Mohsan Raza1,6*, Azhar Abbas Khan2, Sayyad Ali Raza Bukhari1, Muhammad Kashif Hanif3, Sher Khan Panhwar4, Muhammad Ashfaq5
Shahid Ali Khan1*, Farooq Ahmad1, Fatima Urooj1, Shabana Ehsan2, Yan Tongyu3, Tahira Batool4, Aqsa Bibi1, Muhammad Bilal1, Amrat Eman1, Javeria Tariq1, Ansa Asghar1, Yang Yan5, Asima Shabbir2 and Samreen Nazeer6*
Ye-Ling Lao, Jin-Long Huang, Cheng-He Sun, Xiao-Ying Huang, Ting Wu and Qun Zhang*