@article{Zahid2023,

title = {A Computer Vision-Based System for Recognition and Classification of Urdu Sign Language Dataset for Differently Abled People Using Artificial Intelligence},

author = {Hira Zahid and Sidra Abid Syed and Munaf Rashid and Samreen Hussain and Asif Umer and Abdul Waheed and Shahzad Nasim and Mahdi Zareei and Nafees Mansoor},

editor = {Junaid Shuja},

doi = {10.1155/2023/1060135},

issn = {1875-905X},

year  = {2023},

date = {2023-06-26},

journal = {Mobile Information Systems},

volume = {2023},

pages = {1--17},

publisher = {Hindawi Limited},

abstract = {Communication between normal people and deaf people is the most difficult part of daily life worldwide. It is difficult for a normal person to understand a word from the deaf one in their daily routine. So, to communicate with deaf people, different countries developed different sign languages to make communication easy. In Pakistan, for deaf people, the government developed Urdu Sign Language to communicate with deaf people. Physical trainers and experts are difficult to provide everywhere in society, so we need such a computer/mobile-based system to convert the deaf sign symbol into voice and written alphabet that the normal person can easily get the intentions of the deaf one. In this paper, we provided an image processing and deep learning-based model for Urdu Sign Language. The proposed model is implemented in Python 3 and uses different image processing and machine techniques to capture the video and transform the symbols into voice and Urdu writing. First, we get a video from the deaf person, and then the model crops the frames into pictures. Then, the individual picture is recognized for the sign symbol such as if the deaf showed a symbol for one, then the model recognizes it and shows the letter which he/she wants to tell. Image processing techniques such as OpenCV are used for image recognition and classification while TensorFlow and linear regression are used for training the model to behave intelligently in the future. The results show that the proposed model increased accuracy from 80% to 97% and 100% accordingly. The accuracy of the previously available work was 80% when we implemented the algorithms, while with the proposed algorithm, when we used linear regression, we achieved the highest accuracy. Similarly, when we used the TensorFlow deep learning algorithm, we achieved 97% accuracy which was less than that of the linear regression model.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Mansoor2023,

title = {A Fresh Look at Routing Protocols in Unmanned Aerial Vehicular Networks: A Survey},

author = {Nafees Mansoor and Md. Iqbal Hossain and Anatte Rozario and Mahdi Zareei and Alberto Rodríguez Arreola},

doi = {10.1109/access.2023.3290871},

issn = {2169-3536},

year  = {2023},

date = {2023-00-00},

journal = {IEEE Access},

volume = {11},

pages = {66289--66308},

publisher = {Institute of Electrical and Electronics Engineers (IEEE)},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{shahzad2022sf,

title = {SF-LAP: Secure M2M Communication in IIoT with a Single-Factor Lightweight Authentication Protocol},

author = {Khurram Shahzad and Masoom Alam and Nadeem Javaid and Abdul Waheed and Shehzad Ashraf Chaudhry and Nafees Mansoor and Mahdi Zareei and others},

url = {https://www.hindawi.com/journals/js/2022/1309402/},

doi = {https://doi.org/10.1155/2022/1309402},

year  = {2022},

date = {2022-01-01},

urldate = {2022-01-01},

journal = {Journal of Sensors},

volume = {2022},

publisher = {Hindawi},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{chakrabarty2021prediction,

title = {Prediction Approaches for Smart Cultivation: A Comparative Study},

author = {Amitabha Chakrabarty and Nafees Mansoor and Muhammad Irfan Uddin and Mosleh Hmoud Al-Adaileh and Nizar Alsharif and Fawaz Waselallah Alsaade},

year  = {2021},

date = {2021-01-01},

journal = {Complexity},

volume = {2021},

publisher = {Hindawi},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{9455405,

title = {A Transparent and Privacy-preserving Healthcare Platform with Novel Smart Contract for Smart Cities},

author = {Abdullah Al Omar and Abu Kaisar Jamil and Amith Khandakar and Abdur Razzak Uzzal and Rabeya Bosri and Nafees Mansoor and Mohammad Shahriar Rahman},

doi = {10.1109/ACCESS.2021.3089601},

year  = {2021},

date = {2021-01-01},

journal = {IEEE Access},

pages = {1-1},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{mansoor2020conceptualizing,

title = {Conceptualizing and Realizing A Smart City Model for Bangladesh},

author = {Nafees Mansoor},

year  = {2020},

date = {2020-01-01},

journal = {arXiv preprint arXiv:2012.03055},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{rahman2019chittron,

title = {Chittron: An Automatic Bangla Image Captioning System},

author = {Matiur Rahman and Nabeel Mohammed and Nafees Mansoor and Sifat Momen},

year  = {2019},

date = {2019-01-01},

journal = {Procedia Computer Science},

volume = {154},

pages = {636--642},

publisher = {Elsevier},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{zareei2018mobility,

title = {Mobility-aware medium access control protocols for wireless sensor networks: A survey},

author = {Mahdi Zareei and AKM Muzahidul Islam and Cesar Vargas-Rosales and Nafees Mansoor and Shidrokh Goudarzi and Mubashir Husain Rehmani},

year  = {2018},

date = {2018-01-01},

journal = {Journal of Network and Computer Applications},

volume = {104},

pages = {21--37},

publisher = {Academic Press},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{mansoor2018rare,

title = {RARE: A Spectrum Aware Cross-Layer MAC Protocol for Cognitive Radio Ad-Hoc Networks},

author = {Nafees Mansoor and AKM Muzahidul Islam and Mahdi Zareei and Cesar Vargas-Rosales},

year  = {2018},

date = {2018-01-01},

journal = {IEEE Access},

volume = {6},

pages = {22210--22227},

publisher = {IEEE},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{zareei2017medium,

title = {Medium access control protocols for cognitive radio ad hoc networks: A survey},

author = {Mahdi Zareei and AKM Islam and Sabariah Baharun and Cesar Vargas-Rosales and Leyre Azpilicueta and Nafees Mansoor},

year  = {2017},

date = {2017-01-01},

journal = {Sensors},

volume = {17},

number = {9},

pages = {2136},

publisher = {Multidisciplinary Digital Publishing Institute},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Zareei2016,

title = {CMCS: A cross-layer mobility-aware MAC protocol for cognitive radio sensor networks},

author = {Mahdi Zareei, AKM Muzahidul Islam, Nafees Mansoor, Sabariah Baharun, Ehab Mahmoud Mohamed, Seiichi Sampei},

year  = {2016},

date = {2016-12-01},

journal = {EURASIP Journal on Wireless Communications and Networking},

volume = {2016},

number = {1},

pages = {1-15},

publisher = {SpringerOpen},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Zeb2016,

title = {Clustering analysis in wireless sensor networks: The ambit of performance metrics and schemes taxonomy},

author = {Asim Zeb, AKM Muzahidul Islam, Mahdi Zareei, Ishtiak Al Mamoon, Nafees Mansoor, Sabariah Baharun, Yoshiaki Katayama, Shozo Komaki},

url = {https://journals.sagepub.com/doi/pdf/10.1177/155014774979142},

year  = {2016},

date = {2016-07-14},

journal = {International Journal of Distributed Sensor Networks},

volume = {12},

number = {7},

pages = {4979142},

publisher = {MDPI},

abstract = {Research on wireless sensor network (WSN) has increased tremendously throughout the years. In WSN, sensor nodes are deployed to operate autonomously in remote environments. Depending on the network orientation, WSN can be of two types: flat network and hierarchical or cluster-based network. Various advantages of cluster-based WSN are energy efficiency, better network communication, efficient topology management, minimized delay, and so forth. Consequently, clustering has become a key research area in WSN. Different approaches for WSN, using cluster concepts, have been proposed. The objective of this paper is to review and analyze the latest prominent cluster-based WSN algorithms using various measurement parameters. In this paper, unique performance metrics are designed which efficiently evaluate prominent clustering schemes. Moreover, we also develop taxonomy for the classification …},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{zareei2016cmcs,

title = {CMCS: A cross-layer mobility-aware MAC protocol for cognitive radio sensor networks},

author = {Mahdi Zareei and AKM Muzahidul Islam and Nafees Mansoor and Sabariah Baharun and Ehab Mahmoud Mohamed and Seiichi Sampei},

year  = {2016},

date = {2016-01-01},

journal = {EURASIP Journal on Wireless Communications and Networking},

volume = {2016},

number = {1},

pages = {1--15},

publisher = {SpringerOpen},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Mansoor2015,

title = {Cognitive Radio Ad-Hoc Network Architectures: A Survey},

author = {Nafees Mansoor, AKM Muzahidul Islam, Mahdi Zareei, Sabariah Baharun, Toshio Wakabayashi, Shozo Komaki},

url = {https://link.springer.com/content/pdf/10.1007/s11277-014-2175-3.pdf},

year  = {2015},

date = {2015-01-01},

journal = {Wireless Personal Communications},

volume = {81},

number = {81},

pages = {1117-1142},

publisher = {Springer US},

abstract = {Combating the growing necessity of radio spectrum, which is a limited natural resource, proper utilization of the radio spectrum is a must. Cognitive radio network (CRN) plays a vibrant role to solve this spectrum scarcity problem. Cognitive radio uses an open spectrum allocation technique to make more efficient utilization of the wireless radio spectrum and reduces the bottleneck on the frequency bands. Thus, accessible spectrum information is required for communication in CRN, which can be acquired by using spectrum database or by spectrum sensing. In addition, a robust architecture with appropriate communication protocol is preconditioned in the deployment of CRN. The state of the art of cognitive radio ad-hoc network architecture is surveyed in this paper, where the paper specifies the formation mechanisms and performance evaluations of the studied architectures. The reviewed papers have …},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{zeb2015survey,

title = {A SURVEY ON SELF-ORGANIZED CLUSTER-BASED WIRELESS SENSOR NETWORK},

author = {Asim Zeb and AKM Muzahidul Islam and Sabariah Baharun and Nafees Mansoor and Yoshiaki Katayama},

year  = {2015},

date = {2015-01-01},

journal = {Jurnal Teknologi},

volume = {76},

number = {1},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{islam2013comparative,

title = {A comparative analysis of ICT developments in developing and developed countries},

author = {AKM Muzahidul ISLAM and Lalitha Bhavani Jivanadham and Nafees Mansoor and Sabariah BAHARUN and Shamsunnahar Khanam},

year  = {2013},

date = {2013-01-01},

journal = {HARS-RSI J--K$Pi$E-R ICR--ZRW},

pages = {159},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{mansoor2013multiple,

title = {Multiple description discrete cosine transform-based image coding using DC coefficient relocation and AC coefficient interpolation},

author = {Nafees Mansoor and AKM Muzahidul Islam and Abdur M Razzak},

year  = {2013},

date = {2013-01-01},

journal = {Journal of Electronic Imaging},

volume = {22},

number = {2},

pages = {023030--1},

publisher = {International Society for Optics and Photonics},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{ghoshcloud,

title = {Cloud Computing: An Overview of Security Risk Assessment Models and Frameworks},

author = {Subarna Ghosh and Nafees Mansoor and Mohammad Shahriar Rahman},

journal = {Cyber Security Using Modern Technologies},

pages = {125–140},

publisher = {CRC Press},

keywords = {},

pubstate = {published},

tppubtype = {article}

}