Breast cancer is one of the most dangerous cancers, accounting for a large number of fatalities e... more Breast cancer is one of the most dangerous cancers, accounting for a large number of fatalities each year. It is the leading cause of mortality among women globally. It is getting a lot of interest in the scientific community because of its possible life-threatening danger. As a consequence, many machine learning methods (MLMs) have been modified to provide the best results for early diagnosis of this malignancy. Machine learning methods (MLMs) offer several beneficial implications in breast cancer, including early prognosis, detection, and diagnosis. Compared to traditional statistical analysis, machine learning methods (MLMs) have the capacity to improve the analysis of various health data, such as unstructured, complicated, and noisy data. With the demanding prevalence of breast cancer and the arrival of “data reformation,” it is thus imperative to mention the ethical consequences of machine learning (ML) on society and cancer care. It offers conclusively strong tools, smart meth...
In this paper we have presented design and implementation of a prototype for intrusion detection ... more In this paper we have presented design and implementation of a prototype for intrusion detection using mobile agents (MAs) in mobile ad hoc networks (MANETs). In this prototype each node runs intrusion detection system locally and equally cooperates with other intrusion detection systems running on other nodes. The proposed prototype is implemented and validated on PMADE (Platform for MA Distribution and Execution).
We present Corona, a deterministic self-stabilizing algorithm for skip list construction in struc... more We present Corona, a deterministic self-stabilizing algorithm for skip list construction in structured overlay networks. Corona operates in the low-atomicity message-passing asynchronous system model. Corona requires constant process memory space for its operation and, therefore, scales well. We prove the general necessary conditions limiting the initial states from which a self-stabilizing structured overlay network in a messagepassing system can be constructed. The conditions require that initial state information has to form a weakly connected graph and it should only contain identifiers that are present in the system. We formally describe Corona and rigorously prove that it stabilizes from an arbitrary initial state subject to the necessary conditions. We extend Corona to construct a skip graph. construct and to verify. Furthermore, a large initial state space may lead to excessive process memory demands during stabilization, especially during initial linearization: topological sorting of the processes [21].
Breast cancer is one of the most dangerous cancers, accounting for a large number of fatalities e... more Breast cancer is one of the most dangerous cancers, accounting for a large number of fatalities each year. It is the leading cause of mortality among women globally. It is getting a lot of interest in the scientific community because of its possible life-threatening danger. As a consequence, many machine learning methods (MLMs) have been modified to provide the best results for early diagnosis of this malignancy. Machine learning methods (MLMs) offer several beneficial implications in breast cancer, including early prognosis, detection, and diagnosis. Compared to traditional statistical analysis, machine learning methods (MLMs) have the capacity to improve the analysis of various health data, such as unstructured, complicated, and noisy data. With the demanding prevalence of breast cancer and the arrival of “data reformation,” it is thus imperative to mention the ethical consequences of machine learning (ML) on society and cancer care. It offers conclusively strong tools, smart meth...
In this paper we have presented design and implementation of a prototype for intrusion detection ... more In this paper we have presented design and implementation of a prototype for intrusion detection using mobile agents (MAs) in mobile ad hoc networks (MANETs). In this prototype each node runs intrusion detection system locally and equally cooperates with other intrusion detection systems running on other nodes. The proposed prototype is implemented and validated on PMADE (Platform for MA Distribution and Execution).
We present Corona, a deterministic self-stabilizing algorithm for skip list construction in struc... more We present Corona, a deterministic self-stabilizing algorithm for skip list construction in structured overlay networks. Corona operates in the low-atomicity message-passing asynchronous system model. Corona requires constant process memory space for its operation and, therefore, scales well. We prove the general necessary conditions limiting the initial states from which a self-stabilizing structured overlay network in a messagepassing system can be constructed. The conditions require that initial state information has to form a weakly connected graph and it should only contain identifiers that are present in the system. We formally describe Corona and rigorously prove that it stabilizes from an arbitrary initial state subject to the necessary conditions. We extend Corona to construct a skip graph. construct and to verify. Furthermore, a large initial state space may lead to excessive process memory demands during stabilization, especially during initial linearization: topological sorting of the processes [21].
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Papers by Upinder Kaur