Titlebook: Soft Computing for Problem Solving; Proceedings of SocPr Aruna Tiwari,Kapil Ahuja,Atulya K. Nagar Conference proceedings 2021 The Editor(s)

Prophylaxis

A Deep Semi-supervised Approach for Multi-label Land-Cover Classification Under Scarcity of Labellee can be annotated by more than one land-cover class. A striking factor for the development of the proposed technique is its ability to operate under situations when there is scarcity of labelled images in the training set, thereby alleviating extensive manual collection of multi-label ground truth

FIG

Role of Individual Samples in Modified Possibilistic ,-Means Classifier for Handling Heterogeneity statistical parameters, generated from training sample datasets. These parameters do not represent in totality about variations within class. This research paper explains the role of each sample in handling heterogeneity without using statistical parameters from the training samples. Modified possi

compose

Specially Structured Flow Shop Scheduling Models with Processing Times as Trapezoidal Fuzzy Numbersal membership function. An exact algorithm is proposed with an objective to achieve a schedule that minimizes the total waiting time of jobs in a specially structured model where the AHR of processing times is not on the whole arbitrary but must satisfy a definite condition. Most of the literature i

deceive

Potential Fishing Zone Characterization in the Indian Ocean by Machine Learning Approach,emperature (SST) gradient and high chlorophyll concentration in the ocean are the prospective areas for pelagic fish catch. ESSO-INCOIS provides advisories on PFZ on a daily basis using remotely sensed SST and chlorophyll-a data. The limitation of this advisory is that it does not give any informati

迎合

我还要背着他

Duodenitis

minion

粗野

受人支配