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Thermal performance investigation of blade-shaped kerosene-Ag nanofluid in a top wavy octagonal cavity using RSM and ANN

Saha, T Parveen, N Saha, G Uddin, MM Islam, T

This study explores the mathematical modeling of magnetohydrodynamics (MHD) in a two-dimensional dynamic scenario involving free convection (FC) and heat transfer (HT) with entropy generation (Egen...

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Forget Me, Not My Friends! Object Unlearning Based on Scene Graphs

Zhang, C Zhao, B Asghar, H Wang, W Liu, A Kaafar, D

Machine unlearning offers a practical technical means for fulfilling users' requests to remove personally identifiable information (PII) under ''right to be forgotten'' regulations such as GDPR and...

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ViolinBrush: Human-Expressive Mappings for Real-Time Robotic Painting

Savery, R Savery, A Baird, J

We present ViolinBrush, a realĝ€'time interactive system that transfers the nuanced bowing gestures of a live violinist to the strokes of a robotic painting arm. Unlike previous creativeĝ€'robotics...

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Expanding Creative Interaction: Toward a Modular Toolkit for Audio-Visual Composition and Augmented Performance

Savery, A Ferguson, S Johnston, A

We present a modular, sensor-based violin bow interface designed to augment musical performance and audiovisual composition. The system integrates real-time audio processing, visual feedback, and m...

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Performance analysis of concrete-filled aluminum tubes confined with aramid fiber sheets under axial loading: a combined numerical and machine learning approach

Qader, DN Alzabeebee, S Kandiri, A Shakor, P Saeed, S Al‑Hamd, RKS

This study presents a comprehensive investigation into the axial performance of concrete-filled aluminum tubular (CFAT) columns externally confined with aramid fiber-reinforced polymer (AFRP) sheet...

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Detecting cotton Verticillium wilt within and across multiple fields with Sentinel-2 imagery and machine learning

Joshi, A Bishop, T Weaver, T Deo, R Filippi, P

Abstract Verticillium wilt, caused by Verticillium dahliae , poses a major threat to cotton production worldwide. This study presents a framework for predicting Verticillium wilt incidence across ...

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Machine Learning-Based Prediction of Compressive Strength and Sustainability Performance of Cactus Fiber-Reinforced Concrete

Chandra, SS Kumar, BN Shakor, P Hosamath, SV VishnuPriyan, M Alaneme, GU

The growing demand for sustainable construction materials has encouraged the adoption of natural fibers as alternatives to synthetic reinforcements in concrete. Cactus fiber (CF) has emerged as a p...

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Burden of non-communicable diseases and their attributable risk factors in Africa from 1990 to 2023: a systematic analysis for the Global Burden of Disease Study 2023

Awedew, AF Jegnie, M Sun, J GBD 2023 Africa NCD Collaborators,

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Adolescent health across Asia Pacific, 2000–23: a systematic analysis for the Global Burden of Disease Study 2023

Cini, KI Dumuid, D Abbsar, I Li, L Priambodo, DA A, B Abdullah, MA Abdullah, Aboagye, RG Acharya, S Addo, IY Adegoke, NA Adhikary, RK Adiga, U Adnan, M Adnani, QES Adonteng-Kissi, O Afrifa-Yamoah, E Agung, FH Ahmad, A Ahmad, K Ahmad, N Ahmad, T Ahmed, JM Ahmed, M Ahmed, S Akalanka, KHM Akhtar, MN Akosile, W Al Hasan, SM Al Zaabi, OAM Alam, K Alam, MK Alam, MJ Alhumaidi, A Ali, I Ali, MD Ali, R Aljunid, SM Almazan, JU Al-Mekhlafi, HM Ananda, RA Anandakumar, A Anderlini, D Anderson, DB Annadurai, K Ansari, S Anyasodor, AE Apostol, GLC Arafat, M Arooj, M Aryastami, NK Aryntayeva, N Asdaq, SMB Ashraf, J Ashraf, MS Ashraf, S Ashraf, T Aslam, MS Asri, Y Atalykova, Z Atreya, A Awan, SJ Awan, UA Azad, AKM Aziz, MY Bai, R Balakrishnan, P Balakrishnan, S Balhara, YPS Bandara, RP Bandy, A Bandyopadhyay, S Banik, R Barkat, MA Barker-Collo, SL Barua, L Bashir, S Beeraka, NM Begum, GS Behera, P Behera, SM Bele, S Bente Kamal Tune, SN Bhadoria, P Bhandari, R Bhati, AK Bhattacharjee, P Bhattacharya, S Bhattarai, AH Bhatti, GK Bhatti, JS Bhatti, R Bi, H Biswas, B Biswas, MS Biswas, M Borschmann, R Bui, LP Byrne, H

Background: The Asia Pacific region is home to more than half of the world's 1·93 billion adolescents (aged 10–24 years). Addressing adolescent health in this region is of global importance, but to...

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Identifying Super Spreaders in Multilayer Networks

Czuba, M Stolarski, M Piróg, A Bielak, P Bródka, P

Identifying super-spreaders can be framed as a subtask of the influence maximisation problem. It seeks to pinpoint agents within a network that, if selected as single diffusion seeds, disseminate i...

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