SC Harvester Papers Database Interface

Choice blindness persists despite explicit instructions to detect false feedbacks: preliminary evidence for a Bayesian model of choice blindness

Gabriel Vogel, Petter Johansson, Lars Hall, P. Pärnamets. 2022

Sensitivity and Resistance Pattern of 18 Commercially Available Antibiotics against Pseudomonas Species Isolated from Cloacal Swab of Domestic Pigeons

Ahmad Azeem, Hafiz Shahzad Muzammil, Hina Asif, S. Sarwar. In: Futuristic Biotechnology. 2021

Abstract: Antibiotic resistance is a growing concern globally, leading to increased morbidity and mortality due to bacterial infections. Objective: To determine the sensitivity of pseudomonas species against various antibiotics. Methods: A total of 120 cloacal swab samples were collected from domesticated pigeons in the Narowal district of Pakistan and examined in a laboratory. After that gram staining was ...

TaskMUSTER: a comprehensive analysis of task parameters for mixed criticality automotive systems

Arun Sukumaran Nair, L. Colaco, B. Raveendran, S. Punnekkat. In: Sādhanā. 2021

Towards Trustworthy Cross-patient Model Development

Ali El-Merhi, Helena Odenstedt Hergés, Linda Block, Mikael Elam, Richard Vithal et al. In: ArXiv. 2021

Abstract: Machine learning is used in medicine to support physicians in examination, diagnosis, and predicting outcomes. One of the most dynamic area is the usage of patient generated health data from intensive care units. The goal of this paper is to demonstrate how we advance cross-patient ML model development by combining the patient's demographics data with their physiological data. We used a population...

Managing and Composing Teams in Data Science: An Empirical Study

T. Aho, Terhi Kilamo, Lucy Ellen Lwakatare, T. Mikkonen, Outi Sievi-Korte et al. In: 2021 IEEE International Conference on Big Data (Big Data). 2021

Abstract: Data science projects have become commonplace over the last decade. During this time, the practices of running such projects, together with the tools used to run them, have evolved considerably. Furthermore, there are various studies on data science workflows and data science project teams. However, studies looking into both workflows and teams are still scarce and comprehensive works to build a h...

Managing and Composing Teams in Data Science: An Empirical Study

T. Aho, Terhi Kilamo, Lucy Ellen Lwakatare, T. Mikkonen, Outi Sievi-Korte et al. In: 2021 IEEE International Conference on Big Data (Big Data). 2021

Abstract: Data science projects have become commonplace over the last decade. During this time, the practices of running such projects, together with the tools used to run them, have evolved considerably. Furthermore, there are various studies on data science workflows and data science project teams. However, studies looking into both workflows and teams are still scarce and comprehensive works to build a h...

Autonomous Navigation and Configuration of Integrated Access Backhauling for UAV Base Station Using Reinforcement Learning

Hongyi Zhang, Jingya Li, Z. Qi, Xingqin Lin, Anders Aronsson et al. In: 2022 IEEE Future Networks World Forum (FNWF). 2021

Abstract: Fast and reliable connectivity is essential to enhance situational awareness and operational efficiency for public safety mission-critical (MC) users. In emergency or disaster circumstances, where existing cellular network coverage and capacity may not be available to meet MC communication demands, deployable-network-based solutions such as cells-on-wheels/wings can be utilized swiftly to ensure r...

Autonomous Navigation and Configuration of Integrated Access Backhauling for UAV Base Station Using Reinforcement Learning

Hongyi Zhang, Jingya Li, Z. Qi, Xingqin Lin, Anders Aronsson et al. In: 2022 IEEE Future Networks World Forum (FNWF). 2021

Abstract: Fast and reliable connectivity is essential to enhance situational awareness and operational efficiency for public safety mission-critical (MC) users. In emergency or disaster circumstances, where existing cellular network coverage and capacity may not be available to meet MC communication demands, deployable-network-based solutions such as cells-on-wheels/wings can be utilized swiftly to ensure r...

Competition and Plant Trait Plasticity of Invasive (Wedelia trilobata) and Native Species (Wedelia chinensis, WC) under Nitrogen Enrichment and Flooding Condition

Ahmad Azeem, Wen-Xuan Mai, Chang-Yan Tian, Q. Javed, A. Abbas. In: Water. 2021

Abstract: Nitrogen (N) is the important nutrition that regulatory plant functioning and environmental stability of invasive plant species under flooding (F) conditions. Little information clarifies the role of nitrogen enrichment and flooding on the invasive plant functional traits and competition with native competitors. Plant functional traits play an essential role in the successful growth of plants unde...

A Task Modelling Formalism for Industrial Mobile Robot Applications

A. Lager, A. Papadopoulos, Giacomo Spampinato, T. Nolte. In: 2021 20th International Conference on Advanced Robotics (ICAR). 2021

Abstract: Industrial mobile robots are increasingly introduced in factories and warehouses. These environments are becoming more dynamic with human co-workers and other uncertainties that may interfere with the robot's actions. To uphold efficient operation, the robots should be able to autonomously plan and replan the order of their tasks. On the other hand, the robot's actions should be predictable in an ...

Multi-processor scheduling of elastic applications in compositional real-time systems

S. Salman, A. Papadopoulos, S. Mubeen, T. Nolte. In: J. Syst. Archit.. 2021

pmcEDF: An Energy Efficient Procrastination Scheduler for Multi-core Mixed Criticality Systems

L. Colaco, Amol Pai, B. Raveendran, S. Punnekkat. In: 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys). 2021

Abstract: The ever increasing computational demands with size, weight, energy, power and time guidelines necessitates innovative energy efficient techniques in multi-core mixed criticality applications. Energy efficient design considerations include energy optimization techniques such as dynamic-voltage-and-frequency-scaling (DVFS) and dynamic-power-management (DPM). DPM techniques of procrastination and po...

Understanding Metrics Team-Stakeholder Communication in Agile Metrics Service Delivery

N. B. Lindström, Dina Koutsikouri, M. Staron, Wilhelm Meding, Ola Söder. In: 2021 28th Asia-Pacific Software Engineering Conference (APSEC). 2021

Abstract: In this paper, we explore challenges in communication between metrics teams and stakeholders in metrics service delivery. Drawing on interviews and interactive workshops with team members and stakeholders at two different Swedish agile software development organizations, we identify interrelated challenges such as aligning expectations, prioritizing demands, providing regular feedback, and maintai...

Understanding Metrics Team-Stakeholder Communication in Agile Metrics Service Delivery

N. B. Lindström, Dina Koutsikouri, M. Staron, Wilhelm Meding, Ola Söder. In: 2021 28th Asia-Pacific Software Engineering Conference (APSEC). 2021

Abstract: In this paper, we explore challenges in communication between metrics teams and stakeholders in metrics service delivery. Drawing on interviews and interactive workshops with team members and stakeholders at two different Swedish agile software development organizations, we identify interrelated challenges such as aligning expectations, prioritizing demands, providing regular feedback, and maintai...

Towards Continuous Data Collection from In-service Products: Exploring the Relation Between Data Dimensions and Collection Challenges

Anas Dakkak, Hongyi Zhang, D. I. Mattos, Jan Bosch, H. Olsson. In: 2021 28th Asia-Pacific Software Engineering Conference (APSEC). 2021

Abstract: Data collected from in-service products play an important role in enabling software-intensive embedded systems suppliers to embrace data-driven practices. Data can be used in many different ways such as to continuously learn and improve the product, enhance post-deployment services, reduce operational cost or create a better user experience. While there is no shortage of possible use cases leverag...