Hafsa Maryam

12 papers C 1Journal 7Unranked 4

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	Multi-Step Traffic Prediction for Multi-Period Planning in Optical Networks. ICTON Hafsa Maryam, Tania Panayiotou, Georgios Ellinas
2024	J	`jnl`	Multi-Step Traffic Prediction for Multi-Period Planning in Optical Networks. CoRR Hafsa Maryam, Tania Panayiotou, Georgios Ellinas
2023	J	`jnl`	Uncertainty quantification and consideration in ML-aided traffic-driven service provisioning. Comput. Commun. Hafsa Maryam, Tania Panayiotou, Georgios Ellinas
2022	J	`jnl`	Learning quantile QoT models to address uncertainty over unseen lightpaths. Comput. Networks Hafsa Maryam, Tania Panayiotou, Georgios Ellinas
2022	—	`conf`	Representing Uncertainty in Deep QoT Models. MedComNet Hafsa Maryam, Tania Panayiotou, Georgios Ellinas
2021	C	`conf`	Deep Quantile Regression for QoT Inference and Confident Decision Making. ISCC Tania Panayiotou, Hafsa Maryam, Georgios Ellinas
2021	—	`conf`	Optimal Routing Protocol For Efficient Communication in a Social Vehicular Content-Centric Network. VTC Fall Ayesha Siddiqa, Shahnila Rahim, Hafsa Maryam, Madiha Umar
2021	J	`jnl`	Vehicle-Life Interaction in Fog-Enabled Smart Connected and Autonomous Vehicles. IEEE Access Bushra Feroz, Amjad Mehmood, Hafsa Maryam, Sherali Zeadally, Carsten Maple, Munam Ali Shah
2020	J	`jnl`	An Effective Mechanism to Mitigate Real-Time DDoS Attack. IEEE Access Rana Abu Bakar, Abdulaziz Aldegheishem, Muhammad Faran Majeed, Amjad Mehmood, Hafsa Maryam, Nabil Ali Alrajeh, Carsten Maple, Muhammad Jawad
2018	J	`jnl`	Big data analytics for mitigating broadcast storm in Vehicular Content Centric networks. Future Gener. Comput. Syst. Abdul Wahid, Munam Ali Shah, Faisal Fayyaz Qureshi, Hafsa Maryam, Rahat Iqbal, Victor I. Chang
2018	—	`conf`	Complex Adaptive Systems: A Data Modelling and Engineering Perspective. ICISDM Saba Arshad, Hafsa Maryam, Humera Yasmeen, Munam Ali Shah
2018	J	`jnl`	Smart Road Traffic Accidents Reduction Strategy Based on Intelligent Transportation Systems (TARS). Sensors Abdulaziz Aldegheishem, Humera Yasmeen, Hafsa Maryam, Munam Ali Shah, Amjad Mehmood, Nabil Ali Alrajeh, Houbing Song

docs/linting.md

← Index docs/linting.md markdown

# Code Linting Guide

## Installation

```bash
pip install flake8 pylint black isort
```

## Quick Usage

### Check Code Quality
```bash
# Comprehensive analysis (recommended)
pylint redb/

# Quick style check
flake8 redb/

# Format code
black redb/

# Sort imports
isort redb/
```

### Check Only (No Changes)
```bash
black --check redb/
isort --check-only redb/
```

## Configuration

The project uses `pyproject.toml` for configuration. Key settings:

- **Line length**: 120 characters
- **Pylint**: Disabled overly strict warnings (docstrings, naming conventions)
- **Black**: Compatible with isort
- **Flake8**: Ignores common style issues

## Security-Focused Linting

For security analysis, install additional tools:

```bash
pip install pylint-security bandit
```

Run security checks:
```bash
# Pylint with security plugin
pylint --load-plugins=pylint_security redb/

# Bandit (security-focused)
bandit -r redb/
```

## Recommended Workflow

1. **Development**: Use `flake8` for quick feedback
2. **Pre-commit**: Run `pylint` for comprehensive analysis
3. **Formatting**: Use `black` and `isort` before commits
4. **Security**: Run `bandit` periodically

## IDE Integration

Most IDEs support these tools:
- **VS Code**: Install Python extension, configure linting
- **PyCharm**: Built-in support for all tools
- **Vim/Neovim**: Use ALE or similar plugins