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Robotics

Indexing the Future of Cognition & Machine Intelligence

Free, open-access research on manipulation, locomotion, and embodied AI.

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openalexCairn.info2050-01-01

Is the university an enabling environment? A qualitative study examining the impact of university disability policy for staff

Véronique Achmet, Warda Azaghouagh-El Fardi

This study aims to address the university social responsibility (USR) in France by examining disability policy for staff. The concept of an enabling environment is utilized, grounded in the capabilities approach. The aim is to understand how a French university fosters an enablin…

openalexZenodo (CERN European Organization for Nuclear Research)2045-12-10

Artificial Intelligence in Plant Sciences

Dr. Nupur Prasad

Artificial intelligence (AI) may be referred to as a family of technologies which allow computers and other machines to perform the tasks that were previously dependent on human intelligence. In order to perform the tasks autonomously, the machines learn from large volumes of inp…

openalexZenodo (CERN European Organization for Nuclear Research)2045-12-10

Artificial Intelligence in Plant Sciences

Dr. Nupur Prasad

Artificial intelligence (AI) may be referred to as a family of technologies which allow computers and other machines to perform the tasks that were previously dependent on human intelligence. In order to perform the tasks autonomously, the machines learn from large volumes of inp…

openalexZenodo (CERN European Organization for Nuclear Research)2036-04-23

Art as an Algorithmic Virus: Unifying the Generative Crash and AI Value Convergence via Cognitive Affordances

Abraham Haskins

Generative AI inherently triggers a computational failure mode in human observers (a "generative crash") due to a lack of latent intentionality required for Inverse Reinforcement Learning (IRL) convergence. Artistic appreciation operates as the biological execution of this IRL pr…

openalexZenodo (CERN European Organization for Nuclear Research)2036-04-23

Art as an Algorithmic Virus: Unifying the Generative Crash and AI Value Convergence via Cognitive Affordances

Abraham Haskins

Generative AI inherently triggers a computational failure mode in human observers (a "generative crash") due to a lack of latent intentionality required for Inverse Reinforcement Learning (IRL) convergence. Artistic appreciation operates as the biological execution of this IRL pr…

openalexZenodo (CERN European Organization for Nuclear Research)2036-01-01

A Human Pan-Disease Whole Blood Transcriptomics Atlas Reveals Systemic Signatures Across Diseases

Mardinoglu, Adil, Li, Mengzhen

This dataset accompanies the manuscript titled “A Human Pan-Disease Whole Blood Transcriptomics Atlas Reveals Systemic Signatures Across Diseases” Whole-blood transcriptomics (WBT) provides critical insights into systemic health and disease. In this study, we established a large-…

openalexZenodo (CERN European Organization for Nuclear Research)2035-09-05

Feature Importance and Growth Rate Prediction in SiC PVT Processes through Advanced Machine Learning Models

Amir Reza Ansari Dezfoli

Silicon carbide is a key wide-bandgap semiconductor material for next-generation power electronics, yet the Physical Vapor Transport (PVT) method used for bulk crystal growth remains constrained by complex thermal-chemical interactions and low growth rates. This study develops a…

openalexOpen MIND2031-01-01

APPLICATION OF MACHINE LEARNING FOR MASS CYTOMETRY DATA ANALYSIS OF CHRONIC LYMPHOCYTIC LEUKAEMIA

Muizdeen Raji

Mass cytometry is a powerful technique for quantifying intracellular and membrane proteins at single-cell resolution. However, the vast amount of data it generates requires advanced analytical methods to extract meaningful biological insights. While machine learning (ML) has emer…

openalexRUCforsk (Roskilde University)2031-01-01

Assessing the Role of Digital Transformation in Strengthening Customer Engagement: A Case Study of bKash

Abdullah Al Ahad, Majeda Begum

In this study, the role of digital transformation in enhancing customer engagement in the mobile financial services (MFS) industry is explored through a case study of bKash in Bangladesh.The research was designed to find out the key digital transformation projects which bKash has…

openalexOpen MIND2031-01-01

Essays on Financial Machine Learning: Nonlinearity, Predictability and Data-Theory Integration

Yinuo Wang

openalexOpen MIND2031-01-01

Combating Data and Target Shifts in Visual Tasks

Zhaorui Tan

The rapid advancement of deep learning models for visual tasks has led to significant progress in many domains. However, a key challenge remains: ensuring that models can generalize effectively to unseen samples or novel classes, especially in real-world scenarios where training…

openalexOpen Access at Essex (University of Essex)2031-01-01

Analysis of cell-free DNA for cancer diagnostics using liquid biopsies

Negin Behboodi

Chromatin organisation influences gene regulation and genome stability, yet its dysregulation in cancer remains incompletely understood. This has become particularly important for patient diagnostics using cell-free DNA (cfDNA) from body fluids, based on computational analyses of…

openalexRUCforsk (Roskilde University)2031-01-01

Specialeafhandling: Scaling AI in Organisations: An Empirical Study of Organisational Conditions Differentiating Enterprise Adoption from the Pilot Trap

Nicolai Friis Jensen, Rasmus Grønbek

This thesis investigates the organisational conditions that differentiate organisations capable of successfully scaling AI from those that remain trapped in experimental pilot phases.Drawing on a sociotechnical perspective and the theory of dynamic capabilities, the study explore…

openalexZenodo (CERN European Organization for Nuclear Research)2030-04-08

Deep learning design of programmed enhancer pairs

Salil Garg, Blake M Torres, Joanna Wypasek

openalexZenodo (CERN European Organization for Nuclear Research)2030-04-08

Deep learning design of programmed enhancer pairs

Salil Garg, Blake M Torres, Joanna Wypasek

openalexZenodo (CERN European Organization for Nuclear Research)2030-04-08

Deep learning design of programmed enhancer pairs

Salil Garg, Blake M Torres, Joanna Wypasek

openalexWashington State University2030-01-01

MODELING HOSPITALITY AND TOURISM STRATEGIES

Di Zhu

This dissertation investigates various strategies to advance the development of the hospitality and tourism industry through three essays, with a particular emphasis on the transformative roles of artificial intelligence (AI) and women’s economic empowerment. The first essay inve…

openalexOpen Access at Essex (University of Essex)2029-01-01

Advancements in magnetic steering of soft magnetic continuum robots for medical applications

Kiana Abolfathi

Cardiovascular disease is one of the leading causes of death worldwide. Endovascular procedures are common treatments but rely on guidewires to navigate complex blood vessels. A major risk during these procedures is vessel or organ wall perforation if the guidewire is pushed too…

openalexOpen MIND2029-01-01

Data Augmentation Application in Deep Learning Drug Discovery by Utilizing Relationships Between Biological and Medical Entities

Tianjun Wang

openalexOpen MIND2029-01-01

A UAV-Based Framework for Community-Scale Residential Building Energy Modelling in China

Mengfan Jin

With increasing emphasis on energy efficiency and carbon emission reduction in the building sector, rapid and scalable energy modelling of existing buildings is critical for retrofit projects and policy development. Conventional surveys, data collection and energy modelling proce…

crossrefInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology2028-08-27

Cyber Defense Digital Twins: A Federated Learning and Zero-Trust AI Architecture for Autonomous Threat Prediction and Response

Sivaramakrishnan Narayanan

Modern enterprise networks operate under persistent threats that exploit cloud-native misconfigurations, identity sprawl, and API vulnerabilities at machine speed. Existing security operations center (SOC) architectures remain largely reactive, signature-dependent, and incapable…

openalexZenodo (CERN European Organization for Nuclear Research)2028-05-08

tanishqnikose9302/MRAG-HC-System: MRAG-HC-SystemBased v1.0.0

tanishqnikose9302

This Major project is in the 4th Semester (last semester) of the Master of Technology (M.Tech) Degree. It is divided into two phases. Phase 1 starts from July 2027 till November 2027 and Phase 2 starts from January 2028 to May 2028. Multilingual Retrieval-Augmented Generative AI…

openalexZenodo (CERN European Organization for Nuclear Research)2028-05-08

tanishqnikose9302/MRAG-HC-System: MRAG-HC-SystemBased v1.0.0

tanishqnikose9302

This Major project is in the 4th Semester (last semester) of the Master of Technology (M.Tech) Degree. It is divided into two phases. Phase 1 starts from July 2027 till November 2027 and Phase 2 starts from January 2028 to May 2028. Multilingual Retrieval-Augmented Generative AI…

openalexWashington State University2028-02-26

THREE ESSAYS ON EMPIRICAL INDUSTRIAL ORGANIZATION AND MACHINE LEARNING

Mianfeng Liu

This dissertation investigates two critical economic challenges: global public health emergencies and the transformation of the digital economy. Through the development and application of state-of-the-art computational economics and machine learning methodologies, it provides an…

openalexOpen MIND2028-01-01

Mechs

francis lee

You can treat this as buildable with today’s tech, but you’re in “prototype MBT + experimental railgun + biped robot” cost territory for a single unit. Below is an order‑of‑magnitude cost breakdown for the first full prototype and a manufacturing/integration roadmap assuming your…

openalexOpen Collections2028-01-01

Advances in single-cell image cytometry enabled by nanowell imaging plates and machine learning

Samuel Guy Berryman

The full abstract for this thesis is available in the body of the thesis, and will be available when the embargo expires.

openalexCairn.info2028-01-01

Comprendre les effets rebonds circulaires et innover pour les atténuer

Jean-Claude Boldrini

Despite local successes, the circular economy has not yet succeeded in significantly reducing the consumption of virgin raw materials or environmental impacts on a global scale. Among many other causes, the notion of the circular economy rebound effect has recently been introduce…

openalexOpen MIND2028-01-01

Enhancing Retrofit Design for Office Buildings in Indonesia’s Hot-Humid Climates: Exploring Energy and Comfort Trade-Offs through Multi-Objective Optimisation Framework

Nissa Aulia Ardiani

The building and construction sector is responsible for approximately 34% of total final energy use and contributes about 37% of energy-related carbon dioxide emissions worldwide (United Nations Environment Programme, 2024). Although new buildings can be constructed to high energ…

openalexcIRcle (University of British Columbia)2028-01-01

Advanced optimization methods for interpretable machine learning models and their applications in chemical engineering

Jiayang Ren

The full abstract for this thesis is available in the body of the thesis, and will be available when the embargo expires.

openalexcIRcle (University of British Columbia)2028-01-01

Deep learning image analysis of donor red blood cells to predict deformability and transfusion efficacy

Erik S. Lamoureux

The full abstract for this thesis is available in the body of the thesis, and will be available when the embargo expires.