Relevant bibliographies by topics / Turbo database toolbox (Computer file)

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Academic literature on the topic 'Turbo database toolbox (Computer file)'

Author: Grafiati
Published: 4 June 2021
Last updated: 28 July 2025

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Journal articles on the topic "Turbo database toolbox (Computer file)"

1

Van Der Plicht, Johannes. "The New Groningen 14C Data Base." Radiocarbon 34, no. 3 (1992): 493–99. http://dx.doi.org/10.1017/s0033822200063748.

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The Groningen Radiocarbon Data base has been operating on an Apple IIe PC until recently. Both software and hardware of this data base made exchange with other systems very difficult. Therefore, the data base has been transferred to an IBM AT compatible computer. A new program has been written in Turbo-Pascal, using the Turbo-Pascal Database Toolbox. The program features versatile search routines. The output can be directed to various date-list formats, such as the International Radiocarbon Data Base (IRDB). The program is written in such a way that new date lists can be added with minor adjus
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2

Khalaf, Akram Jaddoa, and Samir Jasim Mohammed. "Verification and comparison of MIT-BIH arrhythmia database based on number of beats." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 6 (2021): 4950. http://dx.doi.org/10.11591/ijece.v11i6.pp4950-4961.

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<span lang="EN-US">The ECG signal processing methods are tested and evaluated based on many databases. The most ECG database used for many researchers is the MIT-BIH arrhythmia database. The QRS-detection algorithms are essential for ECG analyses to detect the beats for the ECG signal. There is no standard number of beats for this database that are used from numerous researches. Different beat numbers are calculated for the researchers depending on the difference in understanding the annotation file. In this paper, the beat numbers for existing methods are studied and compared to find th
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3

Lailatul Hasanah and Budi Yuniarto. "Early Study of LLM Implementation in Survey Interviews." Jurnal Aplikasi Statistika & Komputasi Statistik 17, no. 1 (2025): 12–22. https://doi.org/10.34123/jurnalasks.v17i1.792.

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Introduction/Main Objectives: This research aims to conduct a preliminary study into the use of LLMs for extracting information to fill out questionnaires in survey interviews. Background Problems: BPS-Statistics Indonesia used paper-based questionnaires for interviews and is recently utilizing the Computer Assisted Personal Interviewing (CAPI) method. However, the CAPI method has some drawbacks. Enumerators must input data into the device, which can be burdensome and prone to errors. Novelty: This study uses a large language model (LLM) to extract information from survey interviews. Research
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4

Vryzas, Nikolaos, Anastasia Katsaounidou, Lazaros Vrysis, Rigas Kotsakis, and Charalampos Dimoulas. "A Prototype Web Application to Support Human-Centered Audiovisual Content Authentication and Crowdsourcing." Future Internet 14, no. 3 (2022): 75. http://dx.doi.org/10.3390/fi14030075.

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Media authentication relies on the detection of inconsistencies that may indicate malicious editing in audio and video files. Traditionally, authentication processes are performed by forensics professionals using dedicated tools. There is rich research on the automation of this procedure, but the results do not yet guarantee the feasibility of providing automated tools. In the current approach, a computer-supported toolbox is presented, providing online functionality for assisting technically inexperienced users (journalists or the public) to investigate visually the consistency of audio strea
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5

Don, Africa, Aaron, and Torrizo, Lorwin Felimar. "Comparative Study of Intrusion Detection Systems against Mainstream Network Sniffing Tools." International Journal of Engineering & Technology 7, no. 4.16 (2018): 188–91. http://dx.doi.org/10.14419/ijet.v7i4.16.22884.

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As the world embraces a technological revolution on how everyday devices are connected to the internet, users provide sensitive information using the internet which is broken down and distributed as packets throughout the network. Packet sniffers tap to these packets, capable of potentially compromising security and privacy of unsuspecting users. This study aims to put into the test some well-known Intrusion Detection Systems (IDS) and observe how they fare against popular packet-sniffing tools such as Wireshark and tcpdump. The varied sniffing methods and techniques from various sniffing tool
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Books on the topic "Turbo database toolbox (Computer file)"

1

Schildt, Herbert. Advanced Turbo Pascal version 4: Now includes Borland's Turbo Pascal Database Toolbox and Turbo Pascal Graphix Toolbox. Osborne McGraw-Hill, 1988.

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2

Schildt, Herbert. Advanced Turbo Pascal: Programming & techniques. Osborne McGraw-Hill, 1986.

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3

International, Borland. Turbo graphix toolbox: Version 1.0 : owner's handbook. Borland International, 1985.

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4

Jamsa, Kris A. Turbo Pascal programmer's library: Now revised to cover Borland's Turbo numerical methods toolbox. Osborne/McGraw-Hill, 1987.

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5

Boisgontier, J. File handling in Turbo Pascal. Paradigm, 1988.

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6

International, Borland, ed. Lightning word wizard toolbox: Owner's handbook. Borland International, 1986.

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7

Hunt, William James. The C toolbox. Addison Wesley, 1985.

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8

Bullen, Andrew H. Database techniques for librarians: A primer using Turbo Pascal. G.K. Hall, 1993.

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9

Hunt, William James. The C toolbox: Ready-to-run programs in Turbo C, Microsoft C, and Quick C. 2nd ed. Addison-Wesley Pub. Co., 1989.

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10

Turbo Toolbox: Power Tools for Turbo Pascal. Borland International, 1985.

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