Pub Date : 2023-12-01DOI: 10.3103/s1060992x23040112
P. Venkatasaichandrakanth, M. Iyapparaja
{"title":"Review on Pest Detection and Classification in Agricultural Environments Using Image-Based Deep Learning Models and Its Challenges","authors":"P. Venkatasaichandrakanth, M. Iyapparaja","doi":"10.3103/s1060992x23040112","DOIUrl":"https://doi.org/10.3103/s1060992x23040112","url":null,"abstract":"","PeriodicalId":721,"journal":{"name":"Optical Memory and Neural Networks","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139013597","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-01DOI: 10.3103/s1060992x23070159
Abstract
Near-resonant Kapitza–Dirac diffraction theory is extended out of familiar Raman–Nath approximation. New solutions with initial superposition of equidistant momentum states, applied to one- and two-optical grating atom interferometer schemes, reveals certain output patterns, usable as large-area multiple beam atom interferometer.
{"title":"Far Resonance Kapitza-Dirac Diffraction: from Raman-Nath to Bragg and Multiple Beam Atomic Interferometer","authors":"","doi":"10.3103/s1060992x23070159","DOIUrl":"https://doi.org/10.3103/s1060992x23070159","url":null,"abstract":"<span> <h3>Abstract</h3> <p>Near-resonant Kapitza–Dirac diffraction theory is extended out of familiar Raman–Nath approximation. New solutions with initial superposition of equidistant momentum states, applied to one- and two-optical grating atom interferometer schemes, reveals certain output patterns, usable as large-area multiple beam atom interferometer.</p> </span>","PeriodicalId":721,"journal":{"name":"Optical Memory and Neural Networks","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139648835","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-01DOI: 10.3103/s1060992x23070044
Abstract
EPR spectra of Ho3+ impurity ions were recorded in single crystals of yttrium aluminum garnet (Y3Al5O12, YAG) in the frequency range of 114–410 GHz, at a temperature of 4.2 K. Besides the centers due to unusual substitutions by Y3+ for Al3+ ions (anti-site defects), a trigonal center was found, which indicates the replacement of Al3+ ions by Ho3+ ions in octahedral positions with local symmetry C3i. The magnitude of g-factor, the hyperfine structure constant and the energy interval between the main and the first excited sublevel of the main 5I8 muliplet were determined. A comparative analysis of the formation of satellite centers for crystals grown under different conditions is made.
{"title":"Anti-Site Defects and Trigonal Center of Holmium in Y3Al5O12:Ho3+ Crystal According to the Results of Wideband EPR Spectroscopy","authors":"","doi":"10.3103/s1060992x23070044","DOIUrl":"https://doi.org/10.3103/s1060992x23070044","url":null,"abstract":"<span> <h3>Abstract</h3> <p>EPR spectra of Ho<sup>3+</sup> impurity ions were recorded in single crystals of yttrium aluminum garnet (Y<sub>3</sub>Al<sub>5</sub>O<sub>12</sub>, YAG) in the frequency range of 114–410 GHz, at a temperature of 4.2 K. Besides the centers due to unusual substitutions by Y<sup>3+</sup> for Al<sup>3+</sup> ions (anti-site defects), a trigonal center was found, which indicates the replacement of Al<sup>3+</sup> ions by Ho<sup>3+</sup> ions in octahedral positions with local symmetry C<sub>3i</sub>. The magnitude of g-factor, the hyperfine structure constant and the energy interval between the main and the first excited sublevel of the main <sup>5</sup>I<sub>8</sub> muliplet were determined. A comparative analysis of the formation of satellite centers for crystals grown under different conditions is made.</p> </span>","PeriodicalId":721,"journal":{"name":"Optical Memory and Neural Networks","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139648844","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-01DOI: 10.3103/s1060992x23040094
I. M. Karandashev, G. S. Teplov, A. A. Karmanov, V. Keremet, A. Kuzovkov
{"title":"Investigating the Efficiency of Using U-Net, Erf-Net and DeepLabV3 Architectures in Inverse Lithography-based 90-nm Photomask Generation","authors":"I. M. Karandashev, G. S. Teplov, A. A. Karmanov, V. Keremet, A. Kuzovkov","doi":"10.3103/s1060992x23040094","DOIUrl":"https://doi.org/10.3103/s1060992x23040094","url":null,"abstract":"","PeriodicalId":721,"journal":{"name":"Optical Memory and Neural Networks","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139021972","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-01DOI: 10.3103/s1060992x23040082
Saurabh Jaglan, Sunita Kumari, Praveen Aggarwal
{"title":"Development of Prediction Models for Vulnerable Road User Accident Severity","authors":"Saurabh Jaglan, Sunita Kumari, Praveen Aggarwal","doi":"10.3103/s1060992x23040082","DOIUrl":"https://doi.org/10.3103/s1060992x23040082","url":null,"abstract":"","PeriodicalId":721,"journal":{"name":"Optical Memory and Neural Networks","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139013537","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-01DOI: 10.3103/s1060992x23040033
Shailandra Kumar Prasad, Mrityunjay Kumar Sinha
{"title":"Lessen Pressure Drop and Forecasting Thermal Performance in U-Tube Heat Exchanger Using Chimp Optimization and Deep Belief Neural Network","authors":"Shailandra Kumar Prasad, Mrityunjay Kumar Sinha","doi":"10.3103/s1060992x23040033","DOIUrl":"https://doi.org/10.3103/s1060992x23040033","url":null,"abstract":"","PeriodicalId":721,"journal":{"name":"Optical Memory and Neural Networks","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139021205","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-01DOI: 10.3103/s1060992x23040070
Anusua Basu, Mainak Deb, Arunita Das, K. G. Dhal
{"title":"Information Added U-Net with Sharp Block for Nucleus Segmentation of Histopathology Images","authors":"Anusua Basu, Mainak Deb, Arunita Das, K. G. Dhal","doi":"10.3103/s1060992x23040070","DOIUrl":"https://doi.org/10.3103/s1060992x23040070","url":null,"abstract":"","PeriodicalId":721,"journal":{"name":"Optical Memory and Neural Networks","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139023706","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-28DOI: 10.3103/S1060992X23060024
V. A. Antonets, M. A. Antonets
We consider the problem of obtaining a measurable assessment of the quality of empirical training data selected by experts. This problem can be solved in those cases where the data can be displayed in the form of histograms. This class includes any diagrams of frequency of occurrence of linguistic objects in samples, for example, lemmas in a text. It also includes discretized temporal signals from different branches of science, technology, and medicine. The proposed method, as well as other known methods, is based on the use of weight functions. With its help, the weight of each histogram is defined as the sum over all its columns of the products of column height by the value of weight function for the corresponding column. However, in contrast to the well-known approaches, the weight function in the proposed approach is not found empirically, but on the basis of the following variation principle. The weight function is considered optimal if the weight of the lightest histogram found with its help is greater than or equal to the weight of the lightest histogram determined by any other weight function. The application of the developed approach to the task of thematic classification of ad texts on electronic trading floors showed that for the selected topics approximately 90% of the lemmas (words) encountered in the training corpus had the weight equal to zero, and almost all words with nonzero weight were semantically related to the topic.
{"title":"Application of the Variational Principle to Create a Measurable Assessment of the Relevance of Objects Included in Training Databases","authors":"V. A. Antonets, M. A. Antonets","doi":"10.3103/S1060992X23060024","DOIUrl":"10.3103/S1060992X23060024","url":null,"abstract":"<p>We consider the problem of obtaining a measurable assessment of the quality of empirical training data selected by experts. This problem can be solved in those cases where the data can be displayed in the form of histograms. This class includes any diagrams of frequency of occurrence of linguistic objects in samples, for example, lemmas in a text. It also includes discretized temporal signals from different branches of science, technology, and medicine. The proposed method, as well as other known methods, is based on the use of weight functions. With its help, the weight of each histogram is defined as the sum over all its columns of the products of column height by the value of weight function for the corresponding column. However, in contrast to the well-known approaches, the weight function in the proposed approach is not found empirically, but on the basis of the following variation principle. The weight function is considered optimal if the weight of the lightest histogram found with its help is greater than or equal to the weight of the lightest histogram determined by any other weight function. The application of the developed approach to the task of thematic classification of ad texts on electronic trading floors showed that for the selected topics approximately 90% of the lemmas (words) encountered in the training corpus had the weight equal to zero, and almost all words with nonzero weight were semantically related to the topic.</p>","PeriodicalId":721,"journal":{"name":"Optical Memory and Neural Networks","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2023-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138449134","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}