Gait Perception via Actual and Estimated Pneumatic Physical Reservoir Output by Junyi Shen, Tetsuro Miyazaki, Swaninda Ghosh, Toshihiro Kawase, Kenji Kawashima

“…The newly proposed time‐sequence processing approach facilitates the traditional PRC model to achieve higher accuracy in gait perception and greater robustness against the user's walking pattern variations while preserving PRC's hardware simplicity.…”
Get full text

Diversity and functional roles of endophytic and rhizospheric microorganisms in Ophioglossum vulgatum L.: implications for bioactive compound synthesis by Xian-Nv Long, Xian-Nv Long, Xian-Nv Long, Xing-Kai Zhang, Yue Wu, Shu-Shuang Tang, Tai-Xiong Zheng, Di Chen, Guan-Hua Cao, Guan-Hua Cao, Guan-Hua Cao, Xu-Hong Zhou, Sen He, Sen He, Sen He

“…This study systematically characterized the endophytic and rhizospheric community structure, taxonomic diversity, and symbiotic networks within distinct compartments of O. vulgatum, while evaluating their potential associations with the accumulation of pharmacologically active metabolites.MethodsEndophytic and rhizospheric community profiling was conducted via Illumina sequencing, while bioactive compounds were identified using UPLC-ESI-MS/MS.ResultsRoots and leaves harbored beneficial bacteria (e.g., Methylobacterium, Streptomyces, Sphingomonas, and Flavobacterium). …”
Get full text

Analysis of Autism Spectrum Disorder in Children with Data Mining Methods by Sümeyye Çelik, Melike Şişeci Çeşmeli

“…Data mining techniques aim to reveal hidden patterns in data. They are widely used in many fields, such as medicine. …”
Get full text

Nuclear and Chloroplast Markers Provide New Insights Into the Syngameon Dynamics of Genus Micromeria (Lamiaceae) in the Canary Islands by Manuel Curto, Pamela Puppo, Harald Meimberg

“…ABSTRACT Species syngameons are groups of more than two hybridizing species that form complex hybrid networks. Syngameons facilitate sharing the gene pool among species while maintaining morphological differentiation. …”
Get full text

Tensor decomposition based-joint active device detection and channel estimation under frequency offset by QU Ruiyun, LIU Zujun, HUANG Beilei

“…In the future wireless cellular networks, the massive access supporting of the Internet of things (IoT) and machine type communication (MTC) has gradually become a pivotal requirement. …”
Get full text

Enhancing Attendance Management Through Face Recognition Technology: A Case Study at Rugarama School of Nursing and Midwifery. by Taremwa, Benjamin

“…This study, titled "Enhancing Attendance Management through Face Recognition Technology: A Case Study at Rugarama School of Nursing and Midwifery," aimed to develop a more accurate and efficient solution using Local Binary Pattern Histogram and Convolutional Neural Networks algorithms to automate attendance tracking.A mixed-method approach was employed, combining system testing with user feedback from administrators, staff, and students. …”
Get full text

A Closest Resemblance Classifier with Feature Interval Learning and Outranking Measures for Improved Performance by Nabil Belacel

“…We evaluate our classifiers on multiple UCI repository datasets and compare them with established methods, including k-Nearest Neighbors (k-NN), Support Vector Machine (SVM), Random Forest (RF), Neural Networks (NNs), Naive Bayes (NB), and Nearest Centroid (NC). …”
Get full text

Improving the criteria of electricity consumptionforecasting in petrochemical industrial units based ondeep learning by Ehsan Tavakoli Garmaserh, Mehran Emadi

“…This study presents a novel deep learning framework that integrates advanced feature engineering and Long Short-Term Memory (LSTM) networks to address the challenges posed by irregular seasonal trends and dynamic consumption patterns. …”
Get full text

Global divergence in plant and mycorrhizal fungal diversity hotspots by Laura G. van Galen, Justin D. Stewart, Clara Qin, Adriana Corrales, Bethan F. Manley, E. Toby Kiers, Thomas W. Crowther, Michael E. Van Nuland

Get full text

Identifying the Dimensions and Components of a Gamification Model in the Marketing Processes for Sharing Economy Transportation Businesses by Somaye Moradi, Maysam Shafiee

“…Accordingly, gamification in the marketing processes of sharing economy businesses is based on the analysis of user and player behavior, identifying the needs and requirements of users and players, analyzing the competitive space and gamification environment of sharing economy businesses, market planning and determining the appropriate target market, designing accessible channels and operating in designed markets, having a strategic market plan for continuous management of the market, users, and players along the product and business life cycle, designing games that meet market needs and requirements, designing games based on up-to-date standards and professional patterns, meeting the needs of owners and users, owners' participation in game design, owners' participation in promoting and developing gamification networks (volume and physical development), owners' participation in brand development and project promotion (advertising and brand development), players and users' participation in game design, players and users' participation in promoting and developing gamification networks (volume and physical development), and players and users' participation in brand development and project promotion (advertising and brand development). …”
Get full text

Collaborative Advertisement Recommendation System Leveraging User Preferences, Geography, and Demographics by Djalila Boughareb, Hazem Bensalah, Zineddine Kouahla

“…The increasing demand for personalized advertising based on user preferences is driving a surge in popularity. Social networks utilize millions of user’ data to suggest ads based on specific criteria. …”
Get full text

The Effect of Nestle Product Bundling Sales Accompanied with Discounts and Gifts on the Increase in the Number of SKUs Sold in the Sales Area of PT Anugerah Bina Usaha Nusantara La... by Raissa Kurnia Adha, Albari Albari

“…In addition, this program has succeeded in expanding product distribution and overcoming limited purchasing patterns in stores through a combination of incentives such as discounts and prizes, accompanied by education on the benefits of purchasing product bundling to the store. …”
Get full text

Static and Dynamic User Portraits by Ko-Hsun Huang, Yi-Shin Deng, Ming-Chuen Chuang

“…User modeling and profiling has been used to evaluate systems and predict user behaviors for a considerable time. …”
Get full text

Personalized trajectory inference framework integrating driving behavior recognition and temporal dependency learning. by Jinhao Yang, Junwen Cao, Mingyu Fang

“…The framework operates through three rigorously designed stages: (1)Data preprocessing involving kinematics feature extraction, (2)Driving style recognition utilizing acceleration variation rate and average time headway combined with K-Means++ traffic density clustering and K-neighbor Gaussian mixture model (K-GMM) analysis to classify driving behaviors into conservative, moderate, and radical categories, and (3)Personalized trajectory prediction employing a multi-level neural architecture with dedicated sub-networks for distinct driving styles. Experimental evaluations demonstrate DS-TCTM's superior performance across multiple dimensions. …”
Get full text

Smart Implementation and Expectations for Sustainable Buildings: A Scientometric Analysis by Yuxing Xie, Xianhua Sun

“…Amidst global efforts toward sustainable development, this research addresses underexplored academic dimensions by evaluating the transformative potential of intelligent, sustainable architecture. …”
Get full text

Risk analysis of wastewater reuse in agriculture by Jacques Ganoulis

“…Economic and technical factors should also be taken into consideration, such as the water and wastewater treatment costs, the cost of maintenance, the employment of rural labour, the structure of irrigation networks and crop patterns. In this paper, the concept of sustainability in wastewater reclamation and reuse is formulated by using a general risk analysis framework and by taking into account all the above factors. …”
Get full text

Optimized Ensemble Deep Learning for Real-Time Intrusion Detection on Resource-Constrained Raspberry Pi Devices by Muhammad Bisri Musthafa, Samsul Huda, Tuy Tan Nguyen, Yuta Kodera, Yasuyuki Nogami

“…Deep learning techniques offer promising solutions for such detection due to their superior complex pattern recognition and anomaly detection capabilities in large datasets. …”
Get full text

THE COMPARISON OF ARIMA AND RNN FOR FORECASTING GOLD FUTURES CLOSING PRICES by Windy Ayu Pratiwi, Anwar Fajar Rizki, Khairil Anwar Notodiputro, Yenni Angraini, Laily Nissa Atul Mualifah

“…However, the inherent complexity and dynamic nature of financial data, coupled with trends and seasonal patterns, present significant challenges for long-term forecasting with ARIMA. …”
Get full text

Unveiling novel susceptibility genes and drug targets for basal cell carcinoma by a cross-tissue transcriptome-wide association study by Hong Sun, Ling Li, Xiu Xin, Jingchao Yan, Taomin Huang

“…Summary data-based Mendelian randomization (SMR) and colocalization analyses were applied to infer causal relationships between candidate genes and BCC. The expression pattern of the identified genes in single-cell types was also investigated. …”
Get full text

Understanding the trade-off and synergy effects of landscape multifunctional and its driving mechanism in rapidly urbanizing areas by Hang Zhang, Shaohua Wu, Sha Chen, Chong Wu, Fei Xu

“…The distribution of HM, WC and LA is relatively consistent, showing a spatial pattern of high hills in the northwest and southwest mountains and low in the northeast plain and coastal areas. (2) There is a synergistic relationship between HM, WC and LA. …”
Get full text