An intelligent spam detection framework using fusion of spammer behavior and linguistic. by Amna Iqbal, Muhammad Younas, Muhammad Kashif Hanif, Muhammad Murad, Rabia Saleem, Muhammad Aater Javed

“…The primary objective of this endeavor was to identify the most efficacious subset of features and patterns for the task of spam detection. …”
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sEMG-based gesture recognition using multi-stream adaptive CNNs with integrated residual modules by Yutong Xia, Dawei Qiu, Cheng Zhang, Jing Liu

“…Compared with other deep learning models, MSACNN-RM achieves higher accuracy compared to existing models.DiscussionThe proposed model explores features of sparse sEMG signals by leveraging multi-stream convolution, the combination of adaptive convolution modules and ResNet blocks enhances the model’s ability of extracting crucial gesture features. …”
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Anomaly Detection in Network Traffic via Cross-Domain Federated Graph Representation Learning by Yanli Zhao, Zongduo Liu, Junjie Pang

“…Traditional detection approaches typically rely on statistical features while overlooking the interaction patterns and structural dependencies among traffic flows. …”
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Determination of the processes driving the acquisition of immunity to malaria using a mathematical transmission model. by João A N Filipe, Eleanor M Riley, Christopher J Drakeley, Colin J Sutherland, Azra C Ghani

“…Acquisition of partially protective immunity is a dominant feature of the epidemiology of malaria among exposed individuals. …”
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The Characteristics of Italian Collections of Gilt Leather as an Element of the Research into the Provenance of the Gilt-Leather Wall Hangings in Wawel Royal Castle by Ojcumiła Sieradzka-Malec

“…In regards to the techniques used, the gilt leathers from Kraków feature those with a flat surface, variegated with the aid of punching, and with patterns highlighted with paint, which were most often manufactured in Italy.  …”
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Contextual information based anomaly detection for multi-scene aerial videos by Girisha S, Ujjwal Verma, Manohara M M. Pai, Radhika M. Pai

“…Additionally, temporal and appearance features are extracted to handle the complexities of dynamic videos, enabling the system to recognize motion patterns and visual inconsistencies over time. …”
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A comprehensive framework for multi-modal hate speech detection in social media using deep learning by R. Prabhu, V. Seethalakshmi

“…CNNs extract key spatial features in visual tasks, while LSTMs process video sequences to capture evolving visual patterns. …”
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Examining attentional avoidance in post-traumatic stress disorder: an exploratory ‘Face in the Crowd’ paradigm using eye-tracking by Wivine Blekic, Mandy Rossignol, Fabien D’Hondt

“…Background: Maladaptive patterns of attention to emotional stimuli are a clinical feature of posttraumatic stress disorder (PTSD). …”
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T-cell receptor dynamics in digestive system cancers: a multi-layer machine learning approach for tumor diagnosis and staging by Changjin Yuan, Bin Wang, Hong Wang, Fang Wang, Xiangze Li, Ya’nan Zhen

“…High-throughput TCR sequencing was performed to capture TCR beta (TRB), delta (TRD), and gamma (TRG) chain data. Tissue-specific patterns in TCR repertoire features, such as V-J gene recombination, complementarity-determining region 3 (CDR3) sequences, and motif distributions, were analyzed. …”
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VdaBSC: A Novel Vulnerability Detection Approach for Blockchain Smart Contract by Dynamic Analysis by Rexford Nii Ayitey Sosu, Jinfu Chen, Edward Kwadwo Boahen, Zikang Zhang

“…Methods currently used for identifying vulnerabilities in smart contracts mostly rely on static analysis methods that search for predefined vulnerability patterns. However, these patterns often fail to capture complex vulnerabilities, leading to a high rate of false negatives. …”
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Software for Arabic Machine Printed Optical Character Recognition (MACRS) by Mahdi Al- Obaidi, Laheeb Ibrahim

“…MACRS is tested using 2961 patterns for a total 141 classes with roughly 21 patterns in each class. …”
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Road Event Detection and Classification Algorithm Using Vibration and Acceleration Data by Abiel Aguilar-González, Alejandro Medina Santiago

“…The Random Forest model is trained to identify patterns in the sensor data and assign them to predefined event categories, providing an efficient and accurate classification mechanism. …”
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Botanical Roots and Word Origins: A Systematic Reconstruction of Alor Plant Name Etymologies by Brenda Man Qing Ong, Francesco Perono Cacciafoco

“…Secondly, to shed light on possible prehistoric language contact and settlement patterns. A key finding suggests that the initial consonantal shifts *b > b > f > p in the languages is a probable loanword feature originating from the Austronesians. …”
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Directionality in the psych alternation: a quantitative cross-linguistic study by Rott Julian Andrej, Verhoeven Elisabeth, Fritz-Huechante Paola

“…In our data, most languages show preferences for one of the alternation strategies (augmented, reduced, undirected) which is then pervasive in their psych inventory, while the alternative patterns are marginally represented. Furthermore, the Indo-European languages of Europe stand out in being detransitivizing in the psych domain whereas transitivizing and underspecified languages do not show areal patterns. …”
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Fault Detection and Diagnosis in Air-Handling Unit (AHU) Using Improved Hybrid 1D Convolutional Neural Network by Prince, Byungun Yoon, Prashant Kumar

“…Specifically, deep learning has obviated the necessity for manual feature extraction and selection, thereby streamlining the fault diagnosis process. …”
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Study of kinetic performance effect on wheel and rail wear using computer simulation by Lev I. Evelson, Evgeny A. Pamfilov, Alexander G. Tsygankov, Ludmila I. Shiryaeva

“…It is proposed to continue the research in two main areas: determining the influence patterns on the kinetic friction performance and wear of the multiple actual factors, and studying the dynamic (at variable slip velocity) feature of friction effect on the parameter wear through the same procedure.…”
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Downregulation of connexin 43 is crucial for basal cell alignment in ameloblastoma and odontogenic keratocyst by Ahmed Abdelaziz Mohamed Essa

“…Additionally, other patterns of ameloblastoma (plexiform and desmoplastic) and different types of odontogenic cysts manifest heavy trafficking for Cnx43. …”
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A new flexible Weibull distribution for modeling real-life data: Improved estimators, properties, and applications by Ahmed Z. Afify, Rehab Alsultan, Abdulaziz S. Alghamdi, Hisham A. Mahran

“…In this paper, we proposed a novel and flexible lifetime model, the generalized Kavya–Manoharan Weibull distribution, which can be interpreted as a proportional reversed hazard model. The most remarkable feature of the proposed model is its ability to effectively capture a wide range of hazard rate patterns using only three parameters. …”
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SP-RF-ARIMA: A sparse random forest and ARIMA hybrid model for electric load forecasting by Kamran Hassanpouri Baesmat, Farhad Shokoohi, Zeinab Farrokhi

“…Additionally, the residual patterns are analyzed to enhance forecast accuracy. …”
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The linguistic foundations of the mediatization of communities in digital culture by Gábor Szécsi

“…As this study tries to highlight, this process involves a convergence of language use patterns between different communities in the sense of the convergence of imagery as a feature of electronic communication. …”
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