@article {983,
	title = {Multi-Person Pose Estimation Using Group-Based Convolutional Neural Network Model},
	journal = {IEEE Access},
	volume = {11},
	year = {2023},
	pages = {42343-42360},
	keywords = {Biological system modeling, bottom-up parsing, Convolutional Neural Network, Convolutional neural networks, Feature extraction, Location awareness, occlusion, Pose estimation, skeletal keypoint, Solid modeling},
	doi = {10.1109/ACCESS.2023.3271593},
	author = {Aonty, Shuhena Salam and Deb, Kaushik and Sarma, Moumita Sen and Dhar, Pranab Kumar and Shimamura, Tetsuya}
}
@conference {981,
	title = {Traditional Bengali Food Classification Using Convolutional Neural Network},
	booktitle = {2021 IEEE Region 10 Symposium (TENSYMP)},
	year = {2021},
	pages = {1-8},
	keywords = {Computational modeling, Convolutional Neural Network, Convolutional neural networks, Data models, fine tuning, image classification, Image recognition, Neural networks, traditional Bengali foods, Transfer learning, Turning, VGG16},
	doi = {10.1109/TENSYMP52854.2021.9550874},
	author = {Uddin, Asif Mahbub and Al Miraj, Abdullah and Sen Sarma, Moumita and Das, Avishek and Gani, Md. Manjurul}
}
@article {82,
	title = {Generalized Distance Functions in the Theory of Computation},
	journal = {Computer Journal},
	volume = {53},
	year = {2010},
	pages = {443{\textendash}464},
	abstract = {<p class="rtejustify">We discuss a number of distance functions encountered in the theory of computation, including metrics, ultra-metrics, quasi-metrics, generalized ultra-metrics, partial metrics, d-ultra-metrics and generalized metrics. We consider their properties, associated fixed-point theorems and some general applications they have within the theory of computation. We consider in detail the applications of generalized distance functions in giving a uniform treatment of several important semantics for logic programs, including acceptable programs and natural generalizations of them, and also the supported model and the stable model in the context of locally stratified extended disjunctive logic programs and databases.</p>
},
	keywords = {denotational semantics, fixed-point theorems, generalized distance functions, Logic Programming, stable model, supported model, topology, ultra-metrics},
	doi = {10.1093/comjnl/bxm108},
	url = {http://dx.doi.org/10.1093/comjnl/bxm108},
	author = {Anthony K. Seda and Pascal Hitzler}
}
@article {78,
	title = {A Reasonable Semantic Web},
	journal = {Semantic Web},
	volume = {1},
	year = {2010},
	pages = {39{\textendash}44},
	abstract = {<p class="rtejustify">The realization of Semantic Web reasoning is central to substantiating the Semantic Web vision. However, current mainstream research on this topic faces serious challenges, which forces us to question established lines of research and to rethink the underlying approaches. We argue that reasoning for the Semantic Web should be understood as "shared inference," which is not necessarily based on deductive methods. Model-theoretic semantics (and sound and complete reasoning based on it) functions as a gold standard, but applications dealing with large-scale and noisy data usually cannot afford the required runtimes. Approximate methods, including deductive ones, but also approaches based on entirely different methods like machine learning or natureinspired computing need to be investigated, while quality assurance needs to be done in terms of precision and recall values (as in information retrieval) and not necessarily in terms of soundness and completeness of the underlying algorithms.</p>
},
	keywords = {Automated Reasoning, Formal Semantics, Knowledge representation, Linked Open Data, Semantic Web},
	doi = {10.3233/SW-2010-0010},
	url = {http://dx.doi.org/10.3233/SW-2010-0010},
	author = {Pascal Hitzler and Frank van Harmelen}
}
