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            <front>

                <journal-meta>
                                    <journal-id></journal-id>
            <journal-title-group>
                                                                                    <journal-title>Gazi University Journal of Science</journal-title>
            </journal-title-group>
                                        <issn pub-type="epub">2147-1762</issn>
                                                                                            <publisher>
                    <publisher-name>Gazi University</publisher-name>
                </publisher>
                    </journal-meta>
                <article-meta>
                                        <article-id pub-id-type="doi">10.35378/gujs.1775191</article-id>
                                                                <article-categories>
                                            <subj-group  xml:lang="en">
                                                            <subject>Approximation Theory and Asymptotic Methods</subject>
                                                    </subj-group>
                                            <subj-group  xml:lang="tr">
                                                            <subject>Yaklaşım Teorisi ve Asimptotik Yöntemler</subject>
                                                    </subj-group>
                                    </article-categories>
                                                                                                                                                        <title-group>
                                                                                                                                                            <article-title>Bivariate Generalized Kantorovich Forms of Exponential Sampling Series: Some New Results</article-title>
                                                                                                    </title-group>
            
                                                    <contrib-group content-type="authors">
                                                                        <contrib contrib-type="author">
                                                                    <contrib-id contrib-id-type="orcid">
                                        https://orcid.org/0000-0001-6697-9627</contrib-id>
                                                                <name>
                                    <surname>Kursun</surname>
                                    <given-names>Sadettin</given-names>
                                </name>
                                                                    <aff>NATIONAL DEFENSE UNIVERSITY, TURKISH MILITARY ACADEMY</aff>
                                                            </contrib>
                                                                                </contrib-group>
                        
                                                                <issue>Advanced Online Publication</issue>
                                                
                        <history>
                                    <date date-type="received" iso-8601-date="20250901">
                        <day>09</day>
                        <month>01</month>
                        <year>2025</year>
                    </date>
                                                    <date date-type="accepted" iso-8601-date="20260225">
                        <day>02</day>
                        <month>25</month>
                        <year>2026</year>
                    </date>
                            </history>
                                        <permissions>
                    <copyright-statement>Copyright © 1988, Gazi University Journal of Science</copyright-statement>
                    <copyright-year>1988</copyright-year>
                    <copyright-holder>Gazi University Journal of Science</copyright-holder>
                </permissions>
            
                                                                                                                        <abstract><p>In this paper, we begin by establishing a rigorous upper bound for the difference between the operators and , providing a precise measure of the approximation error inherent in the proposed operators. Building on this foundation, we proceed to derive a quantitative Voronovskaja-type formula, which offers a detailed characterization of the asymptotic behavior of the operator under consideration. Finally, to demonstrate the practical relevance and applicability of the theoretical results, we present several illustrative examples of kernels that are compatible with the proposed framework. In this paper, we begin by establishing a rigorous upper bound for the difference between the operators and , providing a precise measure of the approximation error inherent in the proposed operators. Building on this foundation, we proceed to derive a quantitative Voronovskaja-type formula, which offers a detailed characterization of the asymptotic behavior of the operator under consideration. Finally, to demonstrate the practical relevance and applicability of the theoretical results, we present several illustrative examples of kernels that are compatible with the proposed framework.</p></abstract>
                                                            
            
                                                                                        <kwd-group>
                                                    <kwd>Exponential-type sampling operators</kwd>
                                                    <kwd>  An upper bound</kwd>
                                                    <kwd>  A quantitative form of Voronovskaja-type theorem</kwd>
                                                    <kwd>  Examples of kernels</kwd>
                                            </kwd-group>
                            
                                                                                                                                                    </article-meta>
    </front>
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