Titlebook: Software and Data Engineering; 33rd International C Wenying Feng,Nick Rahimi,Venkatasivakumar Margapur Conference proceedings 2025 The Edit

冷淡一切

Aziz Fellahter we present our approach and framework for an integrated big spatio-temporal data stream processing. The key concept here is that streaming data and persistent data are not intrinsically different - the persistent spatio-temporal data is simply streaming data that has been entered into the persis

招致

Harris Wangopose an extension to VRML which supports the description of spatio-temporal (temporal 3D-)graphics and entities by integrating the valid time dimension and the entity concept. This is realized by a set of new VRML-nodes representing temporal geometries, time references and database entities and a s

规范要多

Alkendria McNair,Divine Precious-Esue,Soundra Newson,Nick Rahimiof Horn disjunctive linear constraints over the rationals. Because variable elimination for Horn disjunctive linear constraints cannot be done in PTIME, we try to discover subclasses with tractable variable elimination problems. The class of UTVPI. constraints is the largest class that we show to ha

CHOIR

嬉耍

Tractable

Waquar Ahmad,Aditya Vashist,Neel Sinha,Manisha Prasad,Vishesh Shrivastava,Junaid Hussain Muzamalriterion is available, e.g. “Is a particular elevation a ‘hill’ or a ‘mountain’ ?”. Uncertain knowledge (i.e. fuzziness or vagueness) is due to our inability to make sharp and precise distinctions in our world, e.g. “What is a ‘mountain’ ?” as opposed to “What is not a ‘mountain’ ?”. Whereas uncerta

打火石

Engulf

Enhancing Software Requirements Classification with Machine Learning and Feature Selection Technique each category and using a list of those as our main features. By using a threshold of 0.013, we obtained an F1 score of 0.787, which is an improvement on the base Enhanced Feature Selector’s F1 score of 0.761 with the same number of word features.

表皮

Zoned Role-Based Approach to System Design, Implementation, and Access Control of Integrated Web Appemented for users in their respective roles to conduct their business in each associated zone; and control of user access to each operation can then be done explicitly by associating each operation with roles by inference based on the relationships between roles. Within such a zoned role-based integ

无能力

Enhancing IoT Network Defense: A Comparative Study of Machine Learning Algorithms for Attack Classifdemonstrate the efficacy of machine learning approaches, with the Random Forest algorithm emerging as the top performer, achieving an overall accuracy of 98.41%. We also address challenges like class imbalance through hybrid sampling techniques and implement strategies like regularization and hyperp