Normalize README line endings

README.md

@@ -1,32 +1,32 @@
-# Research Articles by Furkan Gözükara
-
+# Research Articles by Furkan Gözükara
+
 A curated collection of research articles and theses by **Furkan Gözükara** and collaborators, spanning **2012-2026**.
-
-- Furkan Gözükara on X : https://x.com/FurkanGozukara
-- Furkan Gözükara on Google Scholar : https://scholar.google.com/citations?view_op=list_works&hl=en&hl=en&user=_2_KAUsAAAAJ
-- Furkan Gözükara on LinkedIn : https://www.linkedin.com/in/furkangozukara/
-- Furkan Gözükara on YouTube : https://www.youtube.com/SECourses
-- Furkan Gözükara on Medium : https://medium.com/@furkangozukara
-
-## At a Glance
-
+
+- Furkan Gözükara on X : https://x.com/FurkanGozukara
+- Furkan Gözükara on Google Scholar : https://scholar.google.com/citations?view_op=list_works&hl=en&hl=en&user=_2_KAUsAAAAJ
+- Furkan Gözükara on LinkedIn : https://www.linkedin.com/in/furkangozukara/
+- Furkan Gözükara on YouTube : https://www.youtube.com/SECourses
+- Furkan Gözükara on Medium : https://medium.com/@furkangozukara
+
+## At a Glance
+
 - **12 works** across journal articles, an MSc thesis, and a PhD thesis
 - **2 conference collections** with event-specific folders for papers, proceedings, certificates, programs, and participant records
 - Core themes: **product search**, **record linkage**, **focused web crawling**, **sentiment analysis**, **computer vision**, **cyber forensics**, and **human-computer interaction**
-- Includes both **method papers** and **full-system theses** that connect crawling, normalization, matching, ranking, and evaluation
-
-## Research Themes
-
-- E-commerce search, comparison shopping, and product intelligence
-- Product identity clustering, record linkage, and noisy-data normalization
-- Focused web crawling and large-scale data extraction
+- Includes both **method papers** and **full-system theses** that connect crawling, normalization, matching, ranking, and evaluation
+
+## Research Themes
+
+- E-commerce search, comparison shopping, and product intelligence
+- Product identity clustering, record linkage, and noisy-data normalization
+- Focused web crawling and large-scale data extraction
 - Sentiment analysis for Turkish and English text
 - Object detection, bounding-box localization, and precision agriculture
 - Cyber forensics and evidentiary risk analysis
-- Air-writing recognition and human-computer interaction
-
-## Quick Index
-
+- Air-writing recognition and human-computer interaction
+
+## Quick Index
+
 | Year | Title | PDF | Type | Venue / Source | Focus |
 |---|---|---|---|---|---|
 | 2026 | [Directional Alignment Penalty: A Lightweight Localization Loss for Improved Bounding Box Regression in YOLOv8](https://huggingface.co/MonsterMMORPG/ResearchArticles/blob/main/Directional_Alignment_Penalty_A_Lightweight_Localization_Loss_For_Improved_Bounding_Box_Regression_In_YOLOv8.pdf) | [PDF](https://huggingface.co/MonsterMMORPG/ResearchArticles/resolve/main/Directional_Alignment_Penalty_A_Lightweight_Localization_Loss_For_Improved_Bounding_Box_Regression_In_YOLOv8.pdf) | Journal article | Applied Sciences, Vol. 16, No. 16, Article 8286 | YOLOv8 localization, precision agriculture |
@@ -41,7 +41,7 @@ A curated collection of research articles and theses by **Furkan Gözükara** an
 | 2016 | [Product Search Engine Using Product Name Recognition and Sentiment Analysis](https://huggingface.co/MonsterMMORPG/ResearchArticles/blob/main/Product_Search_Engine_Using_Product_Name_Recognition_And_Sentiment_Analysis.pdf) | [PDF](https://huggingface.co/MonsterMMORPG/ResearchArticles/resolve/main/Product_Search_Engine_Using_Product_Name_Recognition_And_Sentiment_Analysis.pdf) / [Drive](https://drive.google.com/file/d/1kG_gtDorOqIcoIiRFpfdJjJu7a4C0bNG/view?usp=sharing) | PhD thesis | Çukurova University | Full product-search-engine architecture |
 | 2015 | [New Metrics for Clustering of Identical Products over Imperfect Data](https://huggingface.co/MonsterMMORPG/ResearchArticles/blob/main/New_Metrics_For_Clustering_Of_Identical_Products_Over_Imperfect_Data.pdf) | [PDF](https://huggingface.co/MonsterMMORPG/ResearchArticles/resolve/main/New_Metrics_For_Clustering_Of_Identical_Products_Over_Imperfect_Data.pdf) / [Drive](https://drive.google.com/file/d/1MnoWnxfXmYJ8NGlDeTnaqaYXRkILT2b8/view?usp=sharing) | Journal article | Turkish Journal of Electrical Engineering and Computer Sciences, Vol. 23, No. 4 | Similarity metrics, evaluation |
 | 2012 | [Fiyat Karşılaştırmalı Ürün Arama Motoru Geliştirme](https://huggingface.co/MonsterMMORPG/ResearchArticles/blob/main/Fiyat_Kar%C5%9F%C4%B1la%C5%9Ft%C4%B1rmal%C4%B1_%C3%9Cr%C3%BCn_Arama_Motoru_Geli%C5%9Ftirme.pdf) | [PDF](https://huggingface.co/MonsterMMORPG/ResearchArticles/resolve/main/Fiyat_Kar%C5%9F%C4%B1la%C5%9Ft%C4%B1rmal%C4%B1_%C3%9Cr%C3%BCn_Arama_Motoru_Geli%C5%9Ftirme.pdf) / [Drive](https://drive.google.com/file/d/1Uak3KlszCMnenCmSkhVg40x12EuFk9qc/view?usp=sharing) | MSc thesis | Mersin University | Price-comparison search engine |
-
+
 ## Conference Materials
 
 Conference records are grouped by event so related papers, proceedings, certificates, programs, and participant records stay together.
@@ -97,99 +97,99 @@ This paper adapts the **Modified Effective Butterfly Optimizer (MEBO)** to solve
 <a id="2025-air-writing"></a>
 
 ### 2025 - [Letter and Person Recognition in Freeform Air-Writing Using Machine Learning Algorithms](https://huggingface.co/MonsterMMORPG/ResearchArticles/resolve/main/Letter_and_Person_Recognition_in_Freeform_Air-Writing_Using_Machine_Learning_Algorithms.pdf)
-
-**Type:** Journal article  
-**Venue:** IEEE Access, Vol. 13  
-**Focus:** Air-writing, letter recognition, person recognition, IMU-based interaction
-
-This paper introduces a wearable-glove pipeline for **freeform air-writing analysis** that jointly models **letter recognition** and **writer recognition**. It uses IMU signals, Fourier and wavelet feature extraction, and multiple machine-learning baselines, while also contributing a **public Turkish alphabet air-writing dataset**. The study reports that **SubSpace KNN** performs best under the tested settings.
-
-<a id="2021-record-linkage"></a>
-
-### 2021 - [An Incremental Hierarchical Clustering Based System For Record Linkage In E-Commerce Domain](https://huggingface.co/MonsterMMORPG/ResearchArticles/resolve/main/An_Incremental_Hierarchical_Clustering_Based_System_For_Record_Linkage_In_E-Commerce_Domain.pdf)
-
-**Type:** Journal article  
-**Venue:** The Computer Journal *(the uploaded PDF is an advance-article version dated 2021 rather than a later issue-formatted PDF)*  
-**Focus:** Record linkage, incremental clustering, product-title matching
-
-This work presents a **dynamic / incremental Hierarchical Agglomerative Clustering (HAC)** system for grouping identical products crawled from different e-commerce websites. The method uses **bag-of-words title representations**, **domain-specific matching / filtering**, and **ELKI-based evaluation**, and reports **96.25% F-measure** on the experimental setup. The paper also emphasizes **dataset release** and evaluation reproducibility.
-
-<a id="2021-cgn-logs"></a>
-
-### 2021 - [Challenges and Possible Severe Legal Consequences of Application Users Identification from CNG-Logs](https://huggingface.co/MonsterMMORPG/ResearchArticles/resolve/main/Challenges_And_Possible_Severe_Legal_Consequences_Of_Application_Users_Identification_From_Cng-Logs.pdf)
-
-**Type:** Journal article  
-**Venue:** Forensic Science International: Digital Investigation, Vol. 39  
-**Focus:** CGNAT, reverse tracking, cyber forensics, evidentiary risk
-
-This paper studies how **carrier-grade NAT / CGNAT logs** can be misused in reverse-tracking workflows and how such misuse can lead to **false attribution** in criminal investigations. Using the **ByLock** case context in Turkey and a comparison with **EncroChat**, it analyzes the technical and legal consequences of flawed identification pipelines.
-
-<a id="2017-feature-selection"></a>
-
-### 2017 - [Efficient Feature Selection for Product Labeling over Unstructured Data](https://huggingface.co/MonsterMMORPG/ResearchArticles/resolve/main/Efficient_Feature_Selection_For_Product_Labeling_Over_Unstructured_Data.pdf)
-
-**Type:** Journal article  
-**Venue:** International Journal of Advanced Computer Science and Applications (IJACSA), Vol. 8, No. 7  
-**Focus:** Feature selection, product labeling, clustering under unstructured data
-
-This study proposes a **feature-selection algorithm** for labeling identical products collected from noisy, heterogeneous web sources. The paper frames product labeling as a **clustering problem over unstructured feature vectors** and shows that the proposed method improves clustering quality compared with baseline approaches.
-
-<a id="2017-eccrawler"></a>
-
-### 2017 - [Focused Web Crawler Development Challenges: ECCrawler](https://huggingface.co/MonsterMMORPG/ResearchArticles/resolve/main/Focused_Web_Crawler_Development_Challenges_Eccrawler.pdf)
-
-**Type:** Journal article  
-**Venue:** International Journal of Computer Science and Engineering, Vol. 6, Issue 1  
-**Focus:** Focused crawling, multithreading, .NET systems engineering
-
-This paper documents the engineering of **EcCrawler**, a hand-crafted focused crawler for e-commerce websites built with **C#**, **.NET 4.5**, and **MS-SQL Server 2014**. It focuses on practical implementation topics such as **threading**, **exception handling**, **HTTP compression**, **duplicate handling**, and **database communication**, and reports **over 400% crawling-speed improvement** and **over 100% UI-responsiveness improvement** from the proposed optimizations.
-
-<a id="2016-document-vectors"></a>
-
-### 2016 - [An Experimental Investigation of Document Vector Computation Methods for Sentiment Analysis of Turkish and English Reviews](https://huggingface.co/MonsterMMORPG/ResearchArticles/resolve/main/An_Experimental_Investigation_Of_Document_Vector_Computation_Methods_For_Sentiment_Analysis_Of_Turkish_And_English_Reviews.pdf)
-
-**Type:** Journal article  
-**Venue:** Çukurova University Journal of the Faculty of Engineering and Architecture, Vol. 31, No. 2  
-**Focus:** Sentiment analysis, vectorization, feature selection, Turkish and English reviews
-
-This article compares **document-vector construction choices** for sentiment analysis, including **TF / TF-IDF variants**, **tokenization**, **feature selection**, **preprocessing**, and **vector normalization** under an **SVM** classifier. On the collected Turkish product-reviews dataset, it reports a best result of **91.33% accuracy**.
-
-<a id="2016-best-product-queries"></a>
-
+
+**Type:** Journal article  
+**Venue:** IEEE Access, Vol. 13  
+**Focus:** Air-writing, letter recognition, person recognition, IMU-based interaction
+
+This paper introduces a wearable-glove pipeline for **freeform air-writing analysis** that jointly models **letter recognition** and **writer recognition**. It uses IMU signals, Fourier and wavelet feature extraction, and multiple machine-learning baselines, while also contributing a **public Turkish alphabet air-writing dataset**. The study reports that **SubSpace KNN** performs best under the tested settings.
+
+<a id="2021-record-linkage"></a>
+
+### 2021 - [An Incremental Hierarchical Clustering Based System For Record Linkage In E-Commerce Domain](https://huggingface.co/MonsterMMORPG/ResearchArticles/resolve/main/An_Incremental_Hierarchical_Clustering_Based_System_For_Record_Linkage_In_E-Commerce_Domain.pdf)
+
+**Type:** Journal article  
+**Venue:** The Computer Journal *(the uploaded PDF is an advance-article version dated 2021 rather than a later issue-formatted PDF)*  
+**Focus:** Record linkage, incremental clustering, product-title matching
+
+This work presents a **dynamic / incremental Hierarchical Agglomerative Clustering (HAC)** system for grouping identical products crawled from different e-commerce websites. The method uses **bag-of-words title representations**, **domain-specific matching / filtering**, and **ELKI-based evaluation**, and reports **96.25% F-measure** on the experimental setup. The paper also emphasizes **dataset release** and evaluation reproducibility.
+
+<a id="2021-cgn-logs"></a>
+
+### 2021 - [Challenges and Possible Severe Legal Consequences of Application Users Identification from CNG-Logs](https://huggingface.co/MonsterMMORPG/ResearchArticles/resolve/main/Challenges_And_Possible_Severe_Legal_Consequences_Of_Application_Users_Identification_From_Cng-Logs.pdf)
+
+**Type:** Journal article  
+**Venue:** Forensic Science International: Digital Investigation, Vol. 39  
+**Focus:** CGNAT, reverse tracking, cyber forensics, evidentiary risk
+
+This paper studies how **carrier-grade NAT / CGNAT logs** can be misused in reverse-tracking workflows and how such misuse can lead to **false attribution** in criminal investigations. Using the **ByLock** case context in Turkey and a comparison with **EncroChat**, it analyzes the technical and legal consequences of flawed identification pipelines.
+
+<a id="2017-feature-selection"></a>
+
+### 2017 - [Efficient Feature Selection for Product Labeling over Unstructured Data](https://huggingface.co/MonsterMMORPG/ResearchArticles/resolve/main/Efficient_Feature_Selection_For_Product_Labeling_Over_Unstructured_Data.pdf)
+
+**Type:** Journal article  
+**Venue:** International Journal of Advanced Computer Science and Applications (IJACSA), Vol. 8, No. 7  
+**Focus:** Feature selection, product labeling, clustering under unstructured data
+
+This study proposes a **feature-selection algorithm** for labeling identical products collected from noisy, heterogeneous web sources. The paper frames product labeling as a **clustering problem over unstructured feature vectors** and shows that the proposed method improves clustering quality compared with baseline approaches.
+
+<a id="2017-eccrawler"></a>
+
+### 2017 - [Focused Web Crawler Development Challenges: ECCrawler](https://huggingface.co/MonsterMMORPG/ResearchArticles/resolve/main/Focused_Web_Crawler_Development_Challenges_Eccrawler.pdf)
+
+**Type:** Journal article  
+**Venue:** International Journal of Computer Science and Engineering, Vol. 6, Issue 1  
+**Focus:** Focused crawling, multithreading, .NET systems engineering
+
+This paper documents the engineering of **EcCrawler**, a hand-crafted focused crawler for e-commerce websites built with **C#**, **.NET 4.5**, and **MS-SQL Server 2014**. It focuses on practical implementation topics such as **threading**, **exception handling**, **HTTP compression**, **duplicate handling**, and **database communication**, and reports **over 400% crawling-speed improvement** and **over 100% UI-responsiveness improvement** from the proposed optimizations.
+
+<a id="2016-document-vectors"></a>
+
+### 2016 - [An Experimental Investigation of Document Vector Computation Methods for Sentiment Analysis of Turkish and English Reviews](https://huggingface.co/MonsterMMORPG/ResearchArticles/resolve/main/An_Experimental_Investigation_Of_Document_Vector_Computation_Methods_For_Sentiment_Analysis_Of_Turkish_And_English_Reviews.pdf)
+
+**Type:** Journal article  
+**Venue:** Çukurova University Journal of the Faculty of Engineering and Architecture, Vol. 31, No. 2  
+**Focus:** Sentiment analysis, vectorization, feature selection, Turkish and English reviews
+
+This article compares **document-vector construction choices** for sentiment analysis, including **TF / TF-IDF variants**, **tokenization**, **feature selection**, **preprocessing**, and **vector normalization** under an **SVM** classifier. On the collected Turkish product-reviews dataset, it reports a best result of **91.33% accuracy**.
+
+<a id="2016-best-product-queries"></a>
+
 ### 2016 - [A Product Search Engine Supporting "Best Product" Queries](https://huggingface.co/MonsterMMORPG/ResearchArticles/resolve/main/conferences/2016-IMSEC/2016-IMSEC-Full-Paper-A-Product-Search-Engine-Supporting-Best-Product-Queries.pdf)
-
-**Type:** Journal article  
-**Venue:** Çukurova University Journal of the Faculty of Engineering and Architecture, Vol. 31, Special Issue 2  
-**Focus:** Product ranking, comparison shopping, query processing
-
-This work presents a product-search-engine system that supports **"find the best products for a given category"** queries. The system integrates a **focused crawler**, **record linkage**, **sentiment analysis**, and a **query engine**, and reports **96.25% F-measure** in record linkage together with **100% precision** in the evaluated most-related-products search setting.
-
-<a id="2016-product-search-thesis"></a>
-
-### 2016 - [Product Search Engine Using Product Name Recognition and Sentiment Analysis](https://huggingface.co/MonsterMMORPG/ResearchArticles/resolve/main/Product_Search_Engine_Using_Product_Name_Recognition_And_Sentiment_Analysis.pdf)
-
-**Type:** PhD thesis  
-**Institution:** Çukurova University, Department of Computer Engineering  
-**Focus:** End-to-end product search engine architecture
-
-This dissertation brings the main threads of the repository together into a **full product search engine**: focused crawling, product-name matching / record linkage, sentiment analysis, and a user-facing search system. The abstract reports **472% crawler performance boost**, **91.08% sentiment-analysis accuracy**, **96.25% F-measure** for record linkage, and **100% precision** for most-related-products search in the thesis setup.
-
-<a id="2015-clustering-metrics"></a>
-
-### 2015 - [New Metrics for Clustering of Identical Products over Imperfect Data](https://huggingface.co/MonsterMMORPG/ResearchArticles/resolve/main/New_Metrics_For_Clustering_Of_Identical_Products_Over_Imperfect_Data.pdf)
-
-**Type:** Journal article  
-**Venue:** Turkish Journal of Electrical Engineering and Computer Sciences, Vol. 23, No. 4  
-**Focus:** Similarity metrics, performance metrics, imperfect web-crawled product data
-
-This paper formalizes **product identity-clustering** for web-crawled commercial products described by noisy, incomplete, and structurally inconsistent data. It proposes **new similarity metrics** and **new evaluation metrics** for this setting and shows that legacy measures such as Euclidean and cosine similarity are weaker on the tested product-clustering problem.
-
-<a id="2012-msc-thesis"></a>
-
-### 2012 - [Fiyat Karşılaştırmalı Ürün Arama Motoru Geliştirme](https://huggingface.co/MonsterMMORPG/ResearchArticles/resolve/main/Fiyat_Kar%C5%9F%C4%B1la%C5%9Ft%C4%B1rmal%C4%B1_%C3%9Cr%C3%BCn_Arama_Motoru_Geli%C5%9Ftirme.pdf)
-
-**Type:** MSc thesis  
-**Institution:** Mersin University, Department of Computer Engineering  
-**Focus:** Price-comparison search, normalization, feature extraction, clustering
-
-This master's thesis lays the early foundation for a **price-comparison product search engine**. It covers **focused collection of product data**, **noise removal / normalization**, **feature-vector extraction**, and **clustering of identical products** across sources, and it also includes an English abstract under the title **"Developing Product Price Comparison Search Engine."**
+
+**Type:** Journal article  
+**Venue:** Çukurova University Journal of the Faculty of Engineering and Architecture, Vol. 31, Special Issue 2  
+**Focus:** Product ranking, comparison shopping, query processing
+
+This work presents a product-search-engine system that supports **"find the best products for a given category"** queries. The system integrates a **focused crawler**, **record linkage**, **sentiment analysis**, and a **query engine**, and reports **96.25% F-measure** in record linkage together with **100% precision** in the evaluated most-related-products search setting.
+
+<a id="2016-product-search-thesis"></a>
+
+### 2016 - [Product Search Engine Using Product Name Recognition and Sentiment Analysis](https://huggingface.co/MonsterMMORPG/ResearchArticles/resolve/main/Product_Search_Engine_Using_Product_Name_Recognition_And_Sentiment_Analysis.pdf)
+
+**Type:** PhD thesis  
+**Institution:** Çukurova University, Department of Computer Engineering  
+**Focus:** End-to-end product search engine architecture
+
+This dissertation brings the main threads of the repository together into a **full product search engine**: focused crawling, product-name matching / record linkage, sentiment analysis, and a user-facing search system. The abstract reports **472% crawler performance boost**, **91.08% sentiment-analysis accuracy**, **96.25% F-measure** for record linkage, and **100% precision** for most-related-products search in the thesis setup.
+
+<a id="2015-clustering-metrics"></a>
+
+### 2015 - [New Metrics for Clustering of Identical Products over Imperfect Data](https://huggingface.co/MonsterMMORPG/ResearchArticles/resolve/main/New_Metrics_For_Clustering_Of_Identical_Products_Over_Imperfect_Data.pdf)
+
+**Type:** Journal article  
+**Venue:** Turkish Journal of Electrical Engineering and Computer Sciences, Vol. 23, No. 4  
+**Focus:** Similarity metrics, performance metrics, imperfect web-crawled product data
+
+This paper formalizes **product identity-clustering** for web-crawled commercial products described by noisy, incomplete, and structurally inconsistent data. It proposes **new similarity metrics** and **new evaluation metrics** for this setting and shows that legacy measures such as Euclidean and cosine similarity are weaker on the tested product-clustering problem.
+
+<a id="2012-msc-thesis"></a>
+
+### 2012 - [Fiyat Karşılaştırmalı Ürün Arama Motoru Geliştirme](https://huggingface.co/MonsterMMORPG/ResearchArticles/resolve/main/Fiyat_Kar%C5%9F%C4%B1la%C5%9Ft%C4%B1rmal%C4%B1_%C3%9Cr%C3%BCn_Arama_Motoru_Geli%C5%9Ftirme.pdf)
+
+**Type:** MSc thesis  
+**Institution:** Mersin University, Department of Computer Engineering  
+**Focus:** Price-comparison search, normalization, feature extraction, clustering
+
+This master's thesis lays the early foundation for a **price-comparison product search engine**. It covers **focused collection of product data**, **noise removal / normalization**, **feature-vector extraction**, and **clustering of identical products** across sources, and it also includes an English abstract under the title **"Developing Product Price Comparison Search Engine."**