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  • Search: isPartOf:"Navigating Challenges of Object Detection Through Cognitive Computing"
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Ebrahim, Mansoor 3 Boopathi, S. 2 Hammad, Mohamed 2 Abbasi, Faiza Latif 1 Abro, Abdul Ahad 1 Adil, Syed Hasan 1 Ahmad, Sadique 1 Ahmed, Wesam 1 Aiman 1 Amin, Imran 1 Aziz, Lubna 1 Bharani, J. S. S. L. 1 Daniyal, Syed Muhammad 1 Dhanya, D. 1 Divya, N. 1 Hafeez, Yasir 1 Jan, Saifullah 1 Jasmine, R. Rajitha 1 Junejo, Faraz 1 Kokila, M. L. Sworna 1 Kumar, Nellore Manoj 1 Mahadir, Mirzan Izzfitri Bin 1 Padmavathi, Pydikalva 1 Saeed, Muhammad Atif 1 Sailaja, Vemuri 1 Sakthivel, M. 1 Tanoli, Irfan Khan 1 Thrimurthulu, V. 1 Younus, Ilyas 1
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Navigating Challenges of Object Detection Through Cognitive Computing 9
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Cognitive Computing Approaches for IoT, Healthcare, Big Data, and Cybersecurity: A Review
Hammad, Mohamed; Ahmad, Sadique - In: Navigating Challenges of Object Detection Through …, (pp. 1-32). 2025
Cognitive computing has become a crucial technique in contemporary computing because it can solve complex problems that traditional computing systems cannot and because it enables machines to perform tasks that were previously only possible for humans. This chapter provides a comprehensive...
Persistent link: https://www.econbiz.de/10015541814
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Natural Language Processing Techniques for Social Media Sentiment Analysis
Hammad, Mohamed; Ahmed, Wesam - In: Navigating Challenges of Object Detection Through …, (pp. 33-62). 2025
This Chapter presents a comprehensive examination of Natural Language Processing [NLP] techniques for sentiment analysis in social media contexts, addressing the unique challenges and opportunities presented by user-generated content on social platforms. We trace the evolution of sentiment...
Persistent link: https://www.econbiz.de/10015541815
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CNN-Based Face Detection Focusing on Diverse Visual Variations
Abbasi, Faiza Latif; Ebrahim, Mansoor; Abro, Abdul Ahad; … - In: Navigating Challenges of Object Detection Through …, (pp. 63-96). 2025
Facial recognition and emotion detection have become indispensable in modern civilization, affecting a wide range of businesses like banking, social media, education, and commerce. This chapter provides a thorough investigation of emotion recognition from facial expressions, focussing on three...
Persistent link: https://www.econbiz.de/10015541816
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Deep Learning Algorithms for Object Detection in Smart Environments
Dhanya, D.; Jasmine, R. Rajitha; Kokila, M. L. Sworna; … - In: Navigating Challenges of Object Detection Through …, (pp. 97-124). 2025
This chapter has presented the deep learning algorithms in smart environments for object detection purpose; it has, however, come to bode to broader introspect towards more enhanced automation and intelligence. These include advanced architectures of CNN, Region-based CNN, and YOLO which have...
Persistent link: https://www.econbiz.de/10015541817
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A Study on Integration of Deep Learning With IoT for Smart Engineering Solutions
Padmavathi, Pydikalva; Thrimurthulu, V.; Bharani, J. S. … - In: Navigating Challenges of Object Detection Through …, (pp. 125-158). 2025
The integration of Deep Learning with IoT technology is a significant advancement in the field of artificial intelligence. The chapter explores the integration of IoT architectures and deep learning frameworks, discussing important strategies for data collection, processing techniques, and deep...
Persistent link: https://www.econbiz.de/10015541818
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Exploring Sentiment Through Cognitive Computing on Social Media Content
Jan, Saifullah; Aiman - In: Navigating Challenges of Object Detection Through …, (pp. 159-180). 2025
The Covid-19 epidemic is regarded as the most serious concern of our day. It has an impact on many parts of our life, including schooling. As a result, practically every country's education system now requires distance study. Some people found it easy to accept this method, while others thought...
Persistent link: https://www.econbiz.de/10015541819
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Object Detection Algorithm and Challenges
Aziz, Lubna; Ebrahim, Mansoor - In: Navigating Challenges of Object Detection Through …, (pp. 181-232). 2025
Object detection, a core task in computer vision, involves identifying and localizing objects in images or videos. Recent deep learning advances have significantly improved accuracy and speed. This chapter explores traditional two-stage methods and modern one-stage techniques. The chapter begins...
Persistent link: https://www.econbiz.de/10015541820
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Speech Emotion Recognition-Based Music Recommender
Hafeez, Yasir; Adil, Syed Hasan; Ebrahim, Mansoor; … - In: Navigating Challenges of Object Detection Through …, (pp. 233-262). 2025
The objective of this chapter is to provide details implementation of a research project; song recommendations based on speech emotions through Speech Emotion Recognition (SER). This involves developing a Speech Emotion Recognition model utilizing neural network algorithms or deep learning...
Persistent link: https://www.econbiz.de/10015541821
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Smart Processing Line for Automobile Sector Based on Computer Vision
Saeed, Muhammad Atif; Junejo, Faraz; Amin, Imran; … - In: Navigating Challenges of Object Detection Through …, (pp. 263-290). 2025
The paper discusses the need for Industrial Automation in Pakistan's automobile and manufacturing industrial sectors. And what are the reasons which hold up this idea factors are controlling its implementation. The work proposes a Smart Painting Machine, a parts painting robot that can be placed...
Persistent link: https://www.econbiz.de/10015541822
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