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  • Suche: Learning Python for Forensics Second Edition

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Learning Python for Forensics Ed. 2
Miller, Preston ; Bryce, Chapin ; Miller, Preston ; et al.

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2

Learning Python for Forensics Ed. 2
Bryce, Chapin ; Bryce, Chapin ; Miller, Preston ; et al.

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3

Forensic Analysis of Manipulated Images and Videos.
Falcón-López, Sergio A. ; Tobarra, Llanos ; Robles-Gómez, Antonio ; et al.
Applied Sciences (2076-3417); Dec2025, Vol. 15 Issue 23, p12664, 26p

DEEPFAKES DETECTION algorithms ARTIFICIAL intelligence VIDEOS IMAGE enhancement (Imagi... FORENSIC sciences …
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4

A hybrid deep learning technique based integrated multi-model data fusion for forensic investigation.
Senthil, P. ; Selvakumar, S.
Journal of Intelligent & Fuzzy Systems. 2022, Vol. 43 Issue 5, p6849-6862. 14p.

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5

Sex estimation with parameters of the facial canal by computed tomography using machine learning algorithms and artificial neural networks.
Secgin, Yusuf ; Kaya, Seren ; Harmandaoğlu, Oğuzhan ; et al.
BMC Medical Imaging; 7/18/2025, Vol. 25 Issue 1, p1-13, 13p

MACHINE learning ARTIFICIAL neural networ... MORPHOMETRICS FORENSIC sciences CRANIAL nerves TEMPORAL bone …
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6

Enhancing Vulnerability Prioritization in Cloud Computing Using Multi-View Representation Learning.
Ullman, Steven ; Samtani, Sagar ; Zhu, Hongyi ; et al.
Journal of Management Information Systems. 2024, Vol. 41 Issue 3, p708-743. 36p.

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7

From the Classroom to Journal Publication: A Guide to Publishing Accounting Instructional Pedagogical Resources.
Taylor, Samantha ; Cross, Bryce ; Nissen, Anika ; et al.
Issues in Accounting Education. Aug2025, Vol. 40 Issue 3, p49-79. 31p.

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8

Methodologies for Data Collection and Analysis of Dark Web Forum Content: A Systematic Literature Review.
de-Marcos, Luis ; Medina-Merodio, José-Amelio ; Stapic, Zlatko
Electronics (2079-9292); Nov2025, Vol. 14 Issue 21, p4191, 23p

MACHINE learning NATURAL language process... ACQUISITION of data SOCIAL network analysis INFORMATION technology INTERNET security
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9

Fog-empowered anomaly detection in IoT networks using one-class asymmetric stacked autoencoder.
Ayad, Aya G. ; Sakr, Nehal A. ; Hikal, Noha A.
Cluster Computing; 2025, Vol. 28 Issue 8, p1-28, 28p

ANOMALY detection (Compu... INTERNET of things REAL-time computing DEEP learning FEATURE extraction HOME security measures …
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10

Shellcode classification analysis with binary classification-based machine learning.
Semendawai, Jaka Naufal ; Stiawan, Deris ; Anto Saputra, Iwan Pahendra ; et al.
International Journal of Informatics & Communication Technology (IJ-ICT); Dec2025, Vol. 14 Issue 3, p923-932, 10p

MACHINE learning MALWARE K-nearest neighbor class... NAIVE Bayes classificati... INTERNET security CLASSIFICATION …
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11

Machine Learning Model Coupled with Graphical User Interface for Predicting Mechanical Properties of Flax Fiber.
Nageshkumar, T. ; Shrivastava, Prateek ; Ammayapan, L. ; et al.
Journal of Natural Fibers; Dec2025, Vol. 22 Issue 1, p1-18, 18p

MACHINE learning RANDOM forest algorithms PREDICTION models TEXTILE fibers MATERIALS testing MECHANICAL behavior of m... …
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12

Innovative approach of nomography application into an engineering educational context.
Blight, Trevor ; Martínez-Pagán, Pedro ; Roschier, Leif ; et al.
PLoS ONE; 2/6/2025, Vol. 20 Issue 2, p1-21, 21p

ENGINEERING education NOMOGRAPHY (Mathematics) LEARNING LIKERT scale COMPUTER software develo...
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13

E-SATNet: Evaluating Student Satisfaction with Lecturer Responses in Asynchronous Online Discussions Using Sentiment and Semantic Similarity Analysis.
Sandiwarno, Sulis ; Sensuse, Dana Indra ; Santoso, Harry Budi ; et al.
Big Data & Cognitive Computing; Sep2025, Vol. 9 Issue 9, p228, 40p

SENTIMENT analysis MACHINE learning STUDENT engagement ARTIFICIAL neural networ... ONLINE education CONTENT analysis
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14

Machinometrics, a new framework towards explainable machine learning in healthcare.
Lin, Jionghui ; Hegde, Shwetha ; Liu, Daochang ; et al.
BMC Methods; 11/12/2025, Vol. 2 Issue 1, p1-14, 14p

DENTISTRY DEEP learning MEDICAL care VISUALIZATION FEATURE extraction
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15

A-XGBoost: a resilient machine learning technique for predicting crimes against women across cultures on low cardinality crime data.
Nicho, Mathew ; Hamed, Ahmed ; Gaber, Tarek ; et al.
Cogent Social Sciences; Dec2025, Vol. 11 Issue 1, p1-28, 28p

UNITED Arab Emirates FINLAND VIOLENCE against women ARTIFICIAL intelligence MACHINE learning CULTURAL awareness …
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16

A Deep Learning Approach to Investigating Clandestine Laboratories Using a GC-QEPAS Sensor.
Felizzato, Giorgio ; Liberatore, Nicola ; Mengali, Sandro ; et al.
Chemosensors; Aug2024, Vol. 12 Issue 8, p152, 11p

DRUG traffic FORENSIC sciences PHOTOACOUSTIC spectrosco... DEEP learning MOLECULAR structure
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17

Integrating Process Mining and Machine Learning for Advanced Internal Control Evaluation in Auditing.
Duan, Huijue Kelly ; Vasarhelyi, Miklos A. ; Codesso, Mauricio
Journal of Information Systems. 2025, Vol. 39 Issue 1, p55-75. 21p.

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18

A Weakly Supervised Approach for HPV Status Prediction in Oropharyngeal Carcinoma from H&E-Stained Slides.
Crispino, Angela ; Varricchio, Silvia ; Marfella, Alessandra ; et al.
Cancers; Dec2025, Vol. 17 Issue 24, p3938, 14p

SQUAMOUS cell carcinoma FLUORESCENT dyes PAPILLOMAVIRUS diseases RISK assessment PREDICTIVE tests PREDICTION models …
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19

A Game-Theoretic Approach for Quantification of Strategic Behaviors in Digital Forensic Readiness.
Vaseghipanah, Mehrnoush ; Jabbehdari, Sam ; Navidi, Hamidreza
Journal of Cybersecurity & Privacy; Dec2025, Vol. 5 Issue 4, p105, 64p

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20

Accurate Detection of Handwriting Features Using Bounding Box Optimization.
Irfani, Muhammad Haviz ; Samsuryadi ; Abdiansah ; et al.
Ingénierie des Systèmes d'Information. Sep2025, Vol. 30 Issue 9, p2499-2509. 11p.

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