Search

Your search keyword '"Naeem, M."' showing total 2,925 results
Start Over Author "Naeem, M."
2,925 results on '"Naeem, M."'

1. A Web Smart Space Framework for Intelligent Search Engines

Author

Naeem, M. Asif and Asif, Noreen

Subjects
JOURNALS
Abstract

A web smart space is an intelligent environment which has additional capability of searching the information smartly and efficiently. New advancements like dynamic web contents generation has increased the size of web repositories. Among so many modern software analysis requirements, one is to search information from the given repository. But useful information extraction is a troublesome hitch due to the multi-lingual; base of the web data collection. The issue of semantic based information searching has become a standoff due to the inconsistencies and variations in the characteristics of the data. In the accomplished research, a web smart space framework has been proposed which introduces front end processing for a search engine to make the information retrieval process more intelligent and accurate. In orthodox searching anatomies, searching is performed only by using pattern matching technique and consequently a large number of irrelevant results are generated. The projected framework has insightful ability to improve this drawback and returns efficient outcomes. Designed framework gets text input from the user in the form complete question, understands the input and generates the meanings. Search engine searches on the basis of the information provided.

Published
2011

7. Co-Designing a Medication Notification Application with Multi-Channel Reminders

Author

Chanane, Nawal, Mirza, Farhaan, and Naeem, M. Asif

Subjects
Computer Science - Human-Computer Interaction
Abstract

Evidence suggests that medication adherence applications (apps) are one of the most effective methods to remind patients to take medication on time. Reminders via apps are overwhelming today, consumers discard using them after a brief period of initial usage, eventually becoming unfavourable towards them and not using them at all. This study aims to qualitatively determine the key features and design of medication reminder apps that facilitate or disrupt usage from the users perceptive. Three focus groups were conducted with participants aged between 15 and 65+ (N= 12). The participants evaluated a smart medication reminder prototype, then sketched and discussed their thoughts and perceptions within the group. Participants identified, 1) Multi-channel reminders, 2) Medication intake acknowledgement for reporting and 3) Seamless addition of medications and associated reminders as important elements. Understanding consumers needs and concerns will inform the future development of medication reminder apps that are acceptable and valuable to consumers.

Published
2023

13. BlindEye: Blind Assistance Using Deep Learning

Author

Shabbir, Bilal, Salman, Ali, Akhtar, Sohaib, Naeem, M. Asif, Kacprzyk, Janusz, Series Editor, García Márquez, Fausto Pedro, editor, Jamil, Akhtar, editor, Ramirez, Isaac Segovia, editor, Eken, Süleyman, editor, and Hameed, Alaa Ali, editor

Published
2024
Full Text
View/download PDF

14. Slide-tags enables single-nucleus barcoding for multimodal spatial genomics

Author

Russell, Andrew J. C., Weir, Jackson A., Nadaf, Naeem M., Shabet, Matthew, Kumar, Vipin, Kambhampati, Sandeep, Raichur, Ruth, Marrero, Giovanni J., Liu, Sophia, Balderrama, Karol S., Vanderburg, Charles R., Shanmugam, Vignesh, Tian, Luyi, Iorgulescu, J. Bryan, Yoon, Charles H., Wu, Catherine J., Macosko, Evan Z., and Chen, Fei

Published
2024
Full Text
View/download PDF

15. The molecular cytoarchitecture of the adult mouse brain

Author

Langlieb, Jonah, Sachdev, Nina S., Balderrama, Karol S., Nadaf, Naeem M., Raj, Mukund, Murray, Evan, Webber, James T., Vanderburg, Charles, Gazestani, Vahid, Tward, Daniel, Mezias, Chris, Li, Xu, Flowers, Katelyn, Cable, Dylan M., Norton, Tabitha, Mitra, Partha, Chen, Fei, and Macosko, Evan Z.

Published
2023
Full Text
View/download PDF

17. Impact of AI-Powered Solutions in Rehabilitation Process: Recent Improvements and Future Trends

Author

Khalid U, Naeem M, Stasolla F, Syed MH, Abbas M, and Coronato A

Subjects
artificial intelligence, machine learning, rehabil- itation, healthcare, cognitive skills, cognitive rehabilitation, Medicine (General), R5-920
Abstract

Umamah bint Khalid,1 Muddasar Naeem,2 Fabrizio Stasolla,2 Madiha Haider Syed,1,3 Musarat Abbas,1 Antonio Coronato2 1Department of Electronics, Quaid-I-Azam University, Islamabad, 44000, Pakistan; 2Research Center on ICT Technologies for Healthcare and Wellbeing, Università Telematica “Giustino Fortunato”, Benevento, 82100, Italy; 3Institute of Information Technology, Quaid-i-Azam University, Islamabad, 44000, PakistanCorrespondence: Muddasar Naeem, Email m.naeem@unifortunato.euAbstract: Rehabilitation is an important and necessary part of local and global healthcare services along with treatment and palliative care, prevention of disease, and promotion of good health. The rehabilitation process helps older and young adults even children to become as independent as possible in activities of daily life and enables participation in useful living activities, recreation, work, and education. The technology of Artificial Intelligence (AI) has evolved significantly in recent years. Many activities related to rehabilitation have been getting benefits from using AI techniques. The objective of this review study is to explore the advantages of AI for rehabilitation and how AI is impacting the rehabilitation process. This study aims at the most critical aspects of the rehabilitation process that could potentially take advantage of AI techniques including personalized rehabilitation apps, rehabilitation through assistance, rehabilitation for neurological disorders, rehabilitation for developmental disorders, virtual reality rehabilitation, rehabilitation of neurodegenerative diseases and Telerehabilitation of Cardiovascular. We presented a survey on the newest empirical studies available in the literature including the AI-based technology helpful in the Rehabilitation process. The novelty feature included but was not limited to an overview of the technological solutions useful in rehabilitation. Seven different categories were identified. Illustrative examples of practical applications were detailed. Implications of the findings for both research and practice were critically discussed. Most of the AI applications in these rehabilitation types are in their infancy and continue to grow while exploring new opportunities. Therefore, we investigate the role of AI technology in rehabilitation processes. In addition, we do statistical analysis of the selected studies to highlight the significance of this review work. In the end, we also present a discussion on some challenges, and future research directions.Keywords: artificial intelligence, machine learning, rehabilitation, healthcare, cognitive skills, cognitive rehabilitation

Published
2024

21. Contributors

Author

Aftab, Tariq, primary, Ahmad, Iffat Zareen, additional, Akdad, Mourad, additional, Alam, Manzar, additional, Ali, Akbar, additional, Aly, Shaza H., additional, Anas, Mohd, additional, Bahgat, Dina M., additional, Bamal, Pooja, additional, Bhardwaj, Richa, additional, Biswas, Surjyo Jyoti, additional, Chandak, Ankita, additional, Chaudhary, Nitin, additional, Chhipa, Abu Sufiyan, additional, Das, Suddhasuchi, additional, Dhull, Sanju Bala, additional, Eddouks, Mohamed, additional, Eldahshan, Omayma A., additional, Elissawy, Ahmed E., additional, El-Nashar, Heba A.S., additional, Erukainure, Ochuko Lucky, additional, Ghule, Mahesh R., additional, Gorain, Sanjib, additional, Gupta, Shalu, additional, Hilles, Ayah Rebhi, additional, Islam, Md. Shahidul, additional, Jambhekar, Hemangee A., additional, Jambhekar, Vibhusha B., additional, Jindal, Parnika, additional, Joshi, Navneet, additional, Kamthe, Kirti T., additional, Kant, Krishan, additional, Kaur, Navneet, additional, Kumar, Arvind, additional, Mahmood, Syed, additional, Malik, Anju, additional, Mandal, Biplab, additional, Mathur, Manas, additional, Naeem, M., additional, Nain, Kiran Bala, additional, Olofinsan, Kolawole, additional, Pal, Jayeeta, additional, Parwez, Rukhsar, additional, Patel, Madhavi G., additional, Patel, Snehal, additional, Pundarikakshudu, Kilambi, additional, Raha, Subrata, additional, Ramteke, Purushottam K., additional, Rana, Meenakshi, additional, Rana, Monika, additional, Sarfraz, Haram, additional, Shah, Priya A., additional, Sharangi, Amit Baran, additional, Singab, Abdel Nasser B., additional, Tatke, Pratima, additional, Tyagi, Nidhi, additional, Upadhyay, Tarun Kumar, additional, Verma, Srashti, additional, Waghmare, Rohini, additional, Waly, Mostafa I., additional, and Zakir, Mohammad, additional

Published
2024
Full Text
View/download PDF

22. Status of impact of abiotic stresses on global agriculture

Author

Nehra, Ashima, primary, Kalwan, Gopal, additional, Gill, Ritu, additional, Nehra, Kiran, additional, Agarwala, Niraj, additional, Kumar Jain, Pradeep, additional, Naeem, M., additional, Tuteja, Narendra, additional, Pudake, Ramesh Namdeo, additional, and Gill, Sarvajeet Singh, additional

Published
2024
Full Text
View/download PDF

24. Thyroid hormone remodels cortex to coordinate body-wide metabolism and exploration

Author

Hochbaum, Daniel R., Hulshof, Lauren, Urke, Amanda, Wang, Wengang, Dubinsky, Alexandra C., Farnsworth, Hannah C., Hakim, Richard, Lin, Sherry, Kleinberg, Giona, Robertson, Keiramarie, Park, Canaria, Solberg, Alyssa, Yang, Yechan, Baynard, Caroline, Nadaf, Naeem M., Beron, Celia C., Girasole, Allison E., Chantranupong, Lynne, Cortopassi, Marissa D., Prouty, Shannon, Geistlinger, Ludwig, Banks, Alexander S., Scanlan, Thomas S., Datta, Sandeep Robert, Greenberg, Michael E., Boulting, Gabriella L., Macosko, Evan Z., and Sabatini, Bernardo L.

Published
2024
Full Text
View/download PDF

46. Predicting Peak Demand Days for Asthma-Related Emergency Hospitalisations: A Machine Learning Approach

Author

Bhalla, Rashi, Mirza, Farhaan, Naeem, M. Asif, Chan, Amy Hai Yan, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Wu, Shiqing, editor, Yang, Wenli, editor, Amin, Muhammad Bilal, editor, Kang, Byeong-Ho, editor, and Xu, Guandong, editor

Published
2023
Full Text
View/download PDF

47. Stability and Quality Analysis of Solar Energy-Based Electrical Network Using an Improved Artificial Neural Network

Author

Nayak, Niranjan, Satpathy, Anshuman, Hanoon, Naeem M. S., Das, J. R., Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Ivanov, Vitalii, Series Editor, Cavas-Martínez, Francisco, Editorial Board Member, di Mare, Francesca, Editorial Board Member, Haddar, Mohamed, Editorial Board Member, Kwon, Young W., Editorial Board Member, Trojanowska, Justyna, Editorial Board Member, Xu, Jinyang, Editorial Board Member, Tripathy, Sasmeeta, editor, Samantaray, Sikata, editor, Ramkumar, J., editor, and Mahapatra, S. S., editor

Published
2023
Full Text
View/download PDF

48. A transcriptomic and epigenomic cell atlas of the mouse primary motor cortex

Author

Yao, Zizhen, Liu, Hanqing, Xie, Fangming, Fischer, Stephan, Adkins, Ricky S, Aldridge, Andrew I, Ament, Seth A, Bartlett, Anna, Behrens, M Margarita, Van den Berge, Koen, Bertagnolli, Darren, de Bézieux, Hector Roux, Biancalani, Tommaso, Booeshaghi, A Sina, Bravo, Héctor Corrada, Casper, Tamara, Colantuoni, Carlo, Crabtree, Jonathan, Creasy, Heather, Crichton, Kirsten, Crow, Megan, Dee, Nick, Dougherty, Elizabeth L, Doyle, Wayne I, Dudoit, Sandrine, Fang, Rongxin, Felix, Victor, Fong, Olivia, Giglio, Michelle, Goldy, Jeff, Hawrylycz, Mike, Herb, Brian R, Hertzano, Ronna, Hou, Xiaomeng, Hu, Qiwen, Kancherla, Jayaram, Kroll, Matthew, Lathia, Kanan, Li, Yang Eric, Lucero, Jacinta D, Luo, Chongyuan, Mahurkar, Anup, McMillen, Delissa, Nadaf, Naeem M, Nery, Joseph R, Nguyen, Thuc Nghi, Niu, Sheng-Yong, Ntranos, Vasilis, Orvis, Joshua, Osteen, Julia K, Pham, Thanh, Pinto-Duarte, Antonio, Poirion, Olivier, Preissl, Sebastian, Purdom, Elizabeth, Rimorin, Christine, Risso, Davide, Rivkin, Angeline C, Smith, Kimberly, Street, Kelly, Sulc, Josef, Svensson, Valentine, Tieu, Michael, Torkelson, Amy, Tung, Herman, Vaishnav, Eeshit Dhaval, Vanderburg, Charles R, van Velthoven, Cindy, Wang, Xinxin, White, Owen R, Huang, Z Josh, Kharchenko, Peter V, Pachter, Lior, Ngai, John, Regev, Aviv, Tasic, Bosiljka, Welch, Joshua D, Gillis, Jesse, Macosko, Evan Z, Ren, Bing, Ecker, Joseph R, Zeng, Hongkui, and Mukamel, Eran A

Subjects
Human Genome, Neurosciences, Genetics, Bioengineering, Biotechnology, 1.1 Normal biological development and functioning, Underpinning research, Neurological, Animals, Atlases as Topic, Datasets as Topic, Epigenesis, Genetic, Epigenomics, Female, Gene Expression Profiling, Male, Mice, Motor Cortex, Neurons, Organ Specificity, Reproducibility of Results, Single-Cell Analysis, Transcriptome, General Science & Technology
Abstract

Single-cell transcriptomics can provide quantitative molecular signatures for large, unbiased samples of the diverse cell types in the brain1-3. With the proliferation of multi-omics datasets, a major challenge is to validate and integrate results into a biological understanding of cell-type organization. Here we generated transcriptomes and epigenomes from more than 500,000 individual cells in the mouse primary motor cortex, a structure that has an evolutionarily conserved role in locomotion. We developed computational and statistical methods to integrate multimodal data and quantitatively validate cell-type reproducibility. The resulting reference atlas-containing over 56 neuronal cell types that are highly replicable across analysis methods, sequencing technologies and modalities-is a comprehensive molecular and genomic account of the diverse neuronal and non-neuronal cell types in the mouse primary motor cortex. The atlas includes a population of excitatory neurons that resemble pyramidal cells in layer 4 in other cortical regions4. We further discovered thousands of concordant marker genes and gene regulatory elements for these cell types. Our results highlight the complex molecular regulation of cell types in the brain and will directly enable the design of reagents to target specific cell types in the mouse primary motor cortex for functional analysis.

Published
2021

49. A multimodal cell census and atlas of the mammalian primary motor cortex

Author

Callaway, Edward M, Dong, Hong-Wei, Ecker, Joseph R, Hawrylycz, Michael J, Huang, Z Josh, Lein, Ed S, Ngai, John, Osten, Pavel, Ren, Bing, Tolias, Andreas Savas, White, Owen, Zeng, Hongkui, Zhuang, Xiaowei, Ascoli, Giorgio A, Behrens, M Margarita, Chun, Jerold, Feng, Guoping, Gee, James C, Ghosh, Satrajit S, Halchenko, Yaroslav O, Hertzano, Ronna, Lim, Byung Kook, Martone, Maryann E, Ng, Lydia, Pachter, Lior, Ropelewski, Alexander J, Tickle, Timothy L, Yang, X William, Zhang, Kun, Bakken, Trygve E, Berens, Philipp, Daigle, Tanya L, Harris, Julie A, Jorstad, Nikolas L, Kalmbach, Brian E, Kobak, Dmitry, Li, Yang Eric, Liu, Hanqing, Matho, Katherine S, Mukamel, Eran A, Naeemi, Maitham, Scala, Federico, Tan, Pengcheng, Ting, Jonathan T, Xie, Fangming, Zhang, Meng, Zhang, Zhuzhu, Zhou, Jingtian, Zingg, Brian, Armand, Ethan, Yao, Zizhen, Bertagnolli, Darren, Casper, Tamara, Crichton, Kirsten, Dee, Nick, Diep, Dinh, Ding, Song-Lin, Dong, Weixiu, Dougherty, Elizabeth L, Fong, Olivia, Goldman, Melissa, Goldy, Jeff, Hodge, Rebecca D, Hu, Lijuan, Keene, C Dirk, Krienen, Fenna M, Kroll, Matthew, Lake, Blue B, Lathia, Kanan, Linnarsson, Sten, Liu, Christine S, Macosko, Evan Z, McCarroll, Steven A, McMillen, Delissa, Nadaf, Naeem M, Nguyen, Thuc Nghi, Palmer, Carter R, Pham, Thanh, Plongthongkum, Nongluk, Reed, Nora M, Regev, Aviv, Rimorin, Christine, Romanow, William J, Savoia, Steven, Siletti, Kimberly, Smith, Kimberly, Sulc, Josef, Tasic, Bosiljka, Tieu, Michael, Torkelson, Amy, Tung, Herman, van Velthoven, Cindy TJ, Vanderburg, Charles R, Yanny, Anna Marie, Fang, Rongxin, Hou, Xiaomeng, Lucero, Jacinta D, Osteen, Julia K, Pinto-Duarte, Antonio, and Poirion, Olivier

Subjects
Genetics, Neurosciences, Human Genome, Biotechnology, Underpinning research, 1.1 Normal biological development and functioning, Neurological, Animals, Atlases as Topic, Callithrix, Epigenomics, Female, Gene Expression Profiling, Glutamates, Humans, In Situ Hybridization, Fluorescence, Male, Mice, Motor Cortex, Neurons, Organ Specificity, Phylogeny, Single-Cell Analysis, Species Specificity, Transcriptome, BRAIN Initiative Cell Census Network, General Science & Technology
Abstract

Here we report the generation of a multimodal cell census and atlas of the mammalian primary motor cortex as the initial product of the BRAIN Initiative Cell Census Network (BICCN). This was achieved by coordinated large-scale analyses of single-cell transcriptomes, chromatin accessibility, DNA methylomes, spatially resolved single-cell transcriptomes, morphological and electrophysiological properties and cellular resolution input-output mapping, integrated through cross-modal computational analysis. Our results advance the collective knowledge and understanding of brain cell-type organization1-5. First, our study reveals a unified molecular genetic landscape of cortical cell types that integrates their transcriptome, open chromatin and DNA methylation maps. Second, cross-species analysis achieves a consensus taxonomy of transcriptomic types and their hierarchical organization that is conserved from mouse to marmoset and human. Third, in situ single-cell transcriptomics provides a spatially resolved cell-type atlas of the motor cortex. Fourth, cross-modal analysis provides compelling evidence for the transcriptomic, epigenomic and gene regulatory basis of neuronal phenotypes such as their physiological and anatomical properties, demonstrating the biological validity and genomic underpinning of neuron types. We further present an extensive genetic toolset for targeting glutamatergic neuron types towards linking their molecular and developmental identity to their circuit function. Together, our results establish a unifying and mechanistic framework of neuronal cell-type organization that integrates multi-layered molecular genetic and spatial information with multi-faceted phenotypic properties.

Published
2021

Catalog

Books, media, physical & digital resources
See catalog results