Reassessing J. S. Mill's liberalism: The influence of Auguste Comte, Jeremy Bentham, and Wilhelm von Humboldt.

The thesis starts by considering the controversial claim made by Joseph Hamburger that couched within the arguments for freedom in On Liberty are calls for high levels of social control, which threaten the conventional reading of Mill as a paradigmatic liberal thinker. The thesis tests this argument against the claims of the revisionary secondary literature, which attempts to reconcile Mill's utilitarian and liberal writings. Examining Hamburger's main line of argumentation, the thesis shows how Mill's thought is more influenced by the thought of August Comte than Mill or the secondary literature acknowledge, while still retaining some crucial differences. The thesis next considers another influence argued to be outside of the liberal tradition, Jeremy Bentham. Even though Mill admittedly inherits utilitarianism from Bentham, he expands the psychological notion of pleasure in fundamental ways, even at the cost of internal consistency. Moreover, the thesis argues that Bentham utilises particular forms of social control in a similar manner as Comte, which is ultimately what Mill rejects in both of their doctrines. However at the same time, it is Comte's positivist philosophy of history that enables Mill to reconcile his utilitarian foundation with his liberal prescriptions. Next, the thesis argues that it is ultimately the influence the Wilhelm von Humboldt that maintains Mill's thought as recognizably liberal. Von Humboldt introduces the notion of individuality to Mill, whose expression is the highest source of pleasure, and is the concept that prevents Mill's moral and political system from collapsing back into a more Comtean and Benthamite formulation. Finally, synthesizing these influences, the thesis uses a hierarchical conception of the self, as articulated by Harry Frankfurt and Gerald Dworkin, to reconcile the high levels of social control correctly perceived by Hamburger with Mill's unambiguous protection and valuation of negative liberty. This socially embedded and highly normative conception of autonomy underpins Mill's progressive doctrine, and preserves his inclusion in the liberal tradition

Reassessing J.S. Mill's liberalism : the influence of August Comte, Jeremy Bentham, and Wilhelm von Humboldt

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Enhancing the Paddy Disease Classification by Using Cross-Validation Strategy for Artificial Neural Network over Baseline Classifiers

Pathogens, including viruses, bacteria, and fungus, are the biotic agents that cause illnesses in crops and are the major cause of yield losses of up to 16 percent in certain parts of the globe. Pathogens are the primary cause of yield losses in some parts of the world. Deep learning algorithms, which are at the cutting edge of technology, are now being used to identify crop disease at an earlier stage. Supervised learning (support vector machine and K-nearest neighbor), ensemble learning (random forest and AdaBoost), and deep learning approaches were used in this study to suggest a classification of paddy leaf diseases, including bacteria leaf blight, blast, hispa, leaf spot, and leaf folder (neural networks). In order to evaluate the performance of the learning approaches, accuracy, recall, precision, F1 score, and area under the receiver operating characteristic curve were used to evaluate the performance of the interpretation (ROC and AUC). According to the results of the investigation, when the fold value grows, the value of the evaluation metrics (AUC, CA, F1, precision, and recall) increases in a progressive manner, i.e., the 0.001 value increases as compared to the values obtained with the previous folds. When comparing the neural network to the baseline classifiers, the assessment metrics demonstrate that the neural network performs much better

Abstracts of National Conference on Research and Developments in Material Processing, Modelling and Characterization 2020

This book presents the abstracts of the papers presented to the Online National Conference on Research and Developments in Material Processing, Modelling and Characterization 2020 (RDMPMC-2020) held on 26th and 27th August 2020 organized by the Department of Metallurgical and Materials Science in Association with the Department of Production and Industrial Engineering, National Institute of Technology Jamshedpur, Jharkhand, India. Conference Title: National Conference on Research and Developments in Material Processing, Modelling and Characterization 2020Conference Acronym: RDMPMC-2020Conference Date: 26–27 August 2020Conference Location: Online (Virtual Mode)Conference Organizer: Department of Metallurgical and Materials Engineering, National Institute of Technology JamshedpurCo-organizer: Department of Production and Industrial Engineering, National Institute of Technology Jamshedpur, Jharkhand, IndiaConference Sponsor: TEQIP-