Kinematics of the Kashmir Himalaya: Inferences from geological and geodetic data by Ahsan Afzal Wani, Bikram Singh Bali, Sareer Ahmad Mir, Mohammad Irfan Wani

“…To quantify the vertical and horizontal deformation rates in the Kashmir Valley, we use GAMIT/GLOBK software to process the GPS data. …”
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metaGEENOME: an integrated framework for differential abundance analysis of microbiome data in cross-sectional and longitudinal studies by Ahmed Abdelkader, Nur A. Ferdous, Mohamed El-Hadidi, Tomasz Burzykowski, Mohamed Mysara

“…However, DA analysis remains challenging due to high dimensionality, compositionality, sparsity, inter-taxa correlations, uneven abundance distributions, and missing values—all which hinder our ability to model the data accurately. Despite the availability of many DA tools, balancing high statistical power with effective false discovery rate (FDR) control remains a major limitation. …”
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A Study on Panoramic Camera System of ROV Platform by GUO Xu, TU Shaoping, XU Lei

“…Subsequently, it introduces the creation of panoramic images from multiple channels of image data through a process involving image preprocessing, stitching, and fusion. …”
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Analyzing the Risk of Short-Term Losses in Free-Range Egg Production Using Commercial Data by Yusuf Adewale Adejola, Terence Zimazile Sibanda, Isabelle Ruhnke, Johan Boshoff, Saluna Pokhrel, Mitchell Welch

“…Key findings from the study show that an increase in feed intake and laying rate measured across the 14-day data window were correlated with a lower risk of a sudden drop in egg production. …”
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GITM‐Data Comparisons of the Depletion and Enhancement During the 2017 Solar Eclipse by Chen Wu, A. J. Ridley, Larisa Goncharenko, Gang Chen

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Data-Driven-Based Full Recovery Technology and System for Transformer Insulating Oil by Feng Chen, Li Wang, Zhiyao Zheng, Bin Pan, Yujia Hu, Kexin Zhang

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JailbreakTracer: Explainable Detection of Jailbreaking Prompts in LLMs Using Synthetic Data Generation by Md. Faiyaz Abdullah Sayeedi, Maaz Bin Hossain, Md. Kamrul Hassan, Sabrina Afrin, Molla Md. Sabit Hossain, Md. Shohrab Hossain

“…The emergence of Large Language Models (LLMs) has revolutionized natural language processing (NLP), enabling remarkable advancements across various applications. …”
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A comprehensive approach to monitoring peatland changes using multi-temporal airborne LiDAR data by Sebastian Czapiewski, Tomasz Giętkowski, Danuta Szumińska

“…Data analysis allows us to track changes in time and space, which is important in estimating the balance of greenhouse gas emissions, especially from degraded peatland areas.…”
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Estimating Perceptual Attributes of Haptic Textures Using Visuo-Tactile Data by Mudassir Ibrahim Awan, Seokhee Jeon

“…A physical signal space is subsequently created by collecting visual and tactile data from these textures. Finally, a deep learning architecture integrating a CNN-based autoencoder for visual feature learning and a ConvLSTM network for tactile data processing is trained to predict user-assigned attribute ratings. …”
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Cart-State-Aware Discovery of E-Commerce Visitor Journeys with Process Mining by Bilal Topaloglu, Basar Oztaysi, Onur Dogan

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Process of Solving Multi-Response Optimization Problems Using a Novel Data Envelopment Analysis Variant-Taguchi Method by Narong Wichapa, Narathip Pawaree, Pariwat Nasawat, Prawach Chourwong, Anucha Sriburum, Wanrop Khanthirat

“…Moreover, the hybrid method was validated using two examples, including optimization of a fish scale scraping machine and the CNC turning process of ST37 steel. The results showed that the DEAV-Taguchi method produced more efficient and reliable outcomes than existing methods, significantly improving key performance metrics such as surface roughness and material removal rate. …”
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A Study of Parameters Related to the Etch Rate for a Dry Etch Process Using NF3/O2 and SF6/O2 by Seon-Geun Oh, Kwang-Su Park, Young-Jun Lee, Jae-Hong Jeon, Hee-Hwan Choe, Jong-Hyun Seo

“…For the SiNx:H film, the etch rates obtained using NF3/O2 were higher than those obtained using SF6/O2 under various process conditions. …”
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Rice Appearance Quality Detection Technology Based on Muti-demensional Features by XING Jian, LUO Jia-shun

“…Image processing technology has the advantage of high efficiency in rice appearance quality detection, but it is easily affected by weak light intensity. …”
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FAHPBEP: A Fuzzy Analytic Hierarchy Process Framework in Text Classification by Razieh Asgarnezhad, Sayed Monadjemi, MohammadReza Soltanaghaei

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On Convergence Rate of MRetrace by Xingguo Chen, Wangrong Qin, Yu Gong, Shangdong Yang, Wenhao Wang

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Recognizing Supporting Standpoints for Online Restaurant Reviews: Evidence From Tripadvisor by Samer Nofal

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Evaluating a brief smartphone-based stress management intervention with heart rate biofeedback from built-in sensors in a three arm randomized controlled trial by Lukas M. Fuhrmann, Christian Aljoscha Lukas, Lena Schindler-Gmelch, Matthias Berking

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Privacy protection scheme of DBSCAN clustering based on homomorphic encryption by Chunfu JIA, Ruiqi LI, Yafei WANG

“…In order to reduce the risk of data privacy leakage in the process of outsourced clustering, a privacy protection scheme of DBSCAN clustering based on homomorphic encryption was proposed.In order to encrypt the float data in the actual scene, three data preprocessing methods for different data accuracy were given, and a policy for choosing a proper data preprocessing method based on data characteristics, accuracy and computational cost was also proposed.For the ciphertext comparison operation that was not supported by homomorphic encryption, a protocol between the client and the cloud server was designed to realize the function of ciphertext comparison.Theoretical analysis and experimental results show that the proposed scheme can ensure the security of data privacy, and has a higher clustering accuracy rate and lower time overhead.…”
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Privacy protection scheme of DBSCAN clustering based on homomorphic encryption by Chunfu JIA, Ruiqi LI, Yafei WANG

“…In order to reduce the risk of data privacy leakage in the process of outsourced clustering, a privacy protection scheme of DBSCAN clustering based on homomorphic encryption was proposed.In order to encrypt the float data in the actual scene, three data preprocessing methods for different data accuracy were given, and a policy for choosing a proper data preprocessing method based on data characteristics, accuracy and computational cost was also proposed.For the ciphertext comparison operation that was not supported by homomorphic encryption, a protocol between the client and the cloud server was designed to realize the function of ciphertext comparison.Theoretical analysis and experimental results show that the proposed scheme can ensure the security of data privacy, and has a higher clustering accuracy rate and lower time overhead.…”
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Providing a Framework for Reforming Premium Rates of Vehicle Collision Coverage with Using Neural Networks Model (A Case Study of Asia Insurance Company) by Mohammad Saleh Torkestani, Arman Dehpanah, Mohammad Taghi Taghavifard, Shahram Shafiee

“…Then, after preprocessing these data, prediction of the damage class and the quantity of policyholders’ potential damages were accomplished using neural networks model. …”
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