بدائل البحث:
proof implementation » prior implementations (توسيع البحث), pilot implementation (توسيع البحث), pre implementation (توسيع البحث)
code implementation » model implementation (توسيع البحث), time implementation (توسيع البحث), world implementation (توسيع البحث)
method proof » method proved (توسيع البحث)
proof implementation » prior implementations (توسيع البحث), pilot implementation (توسيع البحث), pre implementation (توسيع البحث)
code implementation » model implementation (توسيع البحث), time implementation (توسيع البحث), world implementation (توسيع البحث)
method proof » method proved (توسيع البحث)
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101
Sample data for <i>Neolamprologus multifasciatus</i>.
منشور في 2024"…TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. …"
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102
Sample data for <i>Lamprologus ocellatus</i>.
منشور في 2024"…TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. …"
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103
Comparison data 3 for <i>Lamprologus ocellatus</i>.
منشور في 2024"…TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. …"
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104
Sample data for <i>Telmatochromis temporalis</i>.
منشور في 2024"…TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. …"
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105
Comparison data 4 for <i>Lamprologus ocellatus</i>.
منشور في 2024"…TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. …"
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106
Comparison data 1 for <i>Lamprologus ocellatus</i>.
منشور في 2024"…TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. …"
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107
Comparison data 2 for <i>Lamprologus ocellatus</i>.
منشور في 2024"…TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. …"
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108
Comparison data 5 for <i>Lamprologus ocellatus</i>.
منشور في 2024"…TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. …"
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109
Comparison data 6 for <i>Lamprologus ocellatus</i>.
منشور في 2024"…TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. …"
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110
Table 1_Grounding digital mental health and wellbeing platform development in a theory of change: a convergent mixed methods approach.docx
منشور في 2025"…Applying these methods can help developers and researchers design, implement and evaluate digital mental health interventions that are user-centered and effective.…"
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111
Modelling of 3D structures in fire as skeletal frames using the Fire Beam Element (FBE) for simplified analysis and design
منشور في 2025"…Lastly, the FBE and SPM design methodology are applied to a ten-storey office building which provides a proof of concept of the overall design methodology. …"
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112
Flow chart of the proposed methodology.
منشور في 2025"…This paper examines various consensus methods, including PoW (Proof of Work), PBFT(Practical Byzantine Fault Tolerance), its variants, and node reputation management techniques such as the Beta Reputation Model and EigenTrust score, to determine the most suitable approach for healthcare applications. …"
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113
Reputation scores of nodes over time.
منشور في 2025"…This paper examines various consensus methods, including PoW (Proof of Work), PBFT(Practical Byzantine Fault Tolerance), its variants, and node reputation management techniques such as the Beta Reputation Model and EigenTrust score, to determine the most suitable approach for healthcare applications. …"
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114
Latency comparison of PBFT and BR-PBFT.
منشور في 2025"…This paper examines various consensus methods, including PoW (Proof of Work), PBFT(Practical Byzantine Fault Tolerance), its variants, and node reputation management techniques such as the Beta Reputation Model and EigenTrust score, to determine the most suitable approach for healthcare applications. …"
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115
States in a transaction flow.
منشور في 2025"…This paper examines various consensus methods, including PoW (Proof of Work), PBFT(Practical Byzantine Fault Tolerance), its variants, and node reputation management techniques such as the Beta Reputation Model and EigenTrust score, to determine the most suitable approach for healthcare applications. …"
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116
BR-PBFT consensus with VRF.
منشور في 2025"…This paper examines various consensus methods, including PoW (Proof of Work), PBFT(Practical Byzantine Fault Tolerance), its variants, and node reputation management techniques such as the Beta Reputation Model and EigenTrust score, to determine the most suitable approach for healthcare applications. …"
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117
PBFT variants with byzantine nodes.
منشور في 2025"…This paper examines various consensus methods, including PoW (Proof of Work), PBFT(Practical Byzantine Fault Tolerance), its variants, and node reputation management techniques such as the Beta Reputation Model and EigenTrust score, to determine the most suitable approach for healthcare applications. …"
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118
BR-PBFT vs SBFT.
منشور في 2025"…This paper examines various consensus methods, including PoW (Proof of Work), PBFT(Practical Byzantine Fault Tolerance), its variants, and node reputation management techniques such as the Beta Reputation Model and EigenTrust score, to determine the most suitable approach for healthcare applications. …"
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119
Workflow diagram of the proposed solution.
منشور في 2025"…This paper examines various consensus methods, including PoW (Proof of Work), PBFT(Practical Byzantine Fault Tolerance), its variants, and node reputation management techniques such as the Beta Reputation Model and EigenTrust score, to determine the most suitable approach for healthcare applications. …"
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120
Network graph of beta reputation score.
منشور في 2025"…This paper examines various consensus methods, including PoW (Proof of Work), PBFT(Practical Byzantine Fault Tolerance), its variants, and node reputation management techniques such as the Beta Reputation Model and EigenTrust score, to determine the most suitable approach for healthcare applications. …"