Staffing & Scheduling

PICO-RAM: A PVT-Insensitive Analog Compute-In-Memory SRAM Macro with In-Situ Multi-Bit Charge Computing and 6T Thin-Cell-Compatible Layout

Analog compute-in-memory (CIM) in static random-access memory (SRAM) is promising for accelerating...

QSync: Quantization-Minimized Synchronous Distributed Training Across Hybrid Devices

A number of production deep learning clusters have attempted to explore inference hardware for DNN...

Deep Learning Prostate MRI Segmentation Accuracy and Robustness: A Systematic Review.

Purpose To investigate the accuracy and robustness of prostate segmentation using deep learning acro...

Baseline Drift Tolerant Signal Encoding for ECG Classification with Deep Learning.

Common artefacts such as baseline drift, rescaling, and noise critically limit the performance of ma...

Scheduling with Obligatory Tests

Motivated by settings such as medical treatments or aircraft maintenance, we consider a scheduling...

Introducing Individuality into Students' High School Timetables

In a perfect world, each high school student could pursue their interests through a personalized t...

Slice-Level Scheduling for High Throughput and Load Balanced LLM Serving

Large language models (LLMs) iteratively generate text token by token, with memory usage increasin...

A Symbolic Computing Perspective on Software Systems

Symbolic mathematical computing systems have served as a canary in the coal mine of software syste...

Mathematical Model-Driven Deep Learning Enables Personalized Adaptive Therapy.

UNLABELLED: Standard-of-care treatment regimens have long been designed for maximal cell killing, ye...

Multi-word Term Embeddings Improve Lexical Product Retrieval

Product search is uniquely different from search for documents, Internet resources or vacancies, t...

Artificial Intelligence: Reflections on Its Use to Promote DEIA Principles for Residency Recruitment.

Imagine there is no paperwork… it's easy if you try.

Artificial Intelligence (AI) applied to radiology is so vast that it provides applications ranging f...

RT-Transformer: retention time prediction for metabolite annotation to assist in metabolite identification.

MOTIVATION: Liquid chromatography retention times prediction can assist in metabolite identification...

Environmental Sustainability and AI in Radiology: A Double-Edged Sword.

According to the World Health Organization, climate change is the single biggest health threat facin...

DrugBank 6.0: the DrugBank Knowledgebase for 2024.

First released in 2006, DrugBank (https://go.drugbank.com) has grown to become the 'gold standard' k...

An infection prediction model developed from inpatient data can predict out-of-hospital COVID-19 infections from wearable data when controlled for dataset shift

The COVID-19 pandemic highlighted the importance of early detection of illness and the need for heal...

Multimodal representation learning for medical analytics - a systematic literature review.

Machine learning-based analytics over uni-modal medical data has shown considerable promise and is ...

Identifying best fall-related balance factors and robotic-assisted gait training attributes in 105 post-stroke patients using clinical machine learning models.

BACKGROUND: Despite the promising effects of robot-assisted gait training (RAGT) on balance and gait...

A fuzzy TOPSIS-based approach for prioritizing low-impact development methods in high-density residential areas.

The study successfully implemented six low-impact development (LID) methods to manage surface runoff...

Machine learning models to predict surgical case duration compared to current industry standards: scoping review.

BACKGROUND: Surgical waiting lists have risen dramatically across the UK as a result of the COVID-19...

Beyond Distribution Shift: Spurious Features Through the Lens of Training Dynamics.

Deep Neural Networks (DNNs) are prone to learning spurious features that correlate with the label du...