Live Ml Selingkuh Tante Momoshan Keenakan Kena Doggy New ⟶ [PRO]

| Configuration | Removed | Weighted F1 | Δ | |---------------|---------|------------|---| | Full TF‑CRN | – | 92.4 | – | | No depth channel | RGB only | 88.7 | -3.7 | | No audio | – | 85.2 | -7.2 | | No IMU | – | 86.5 | -5.9 | | No temporal‑attention | – | 89.1 | -3.3 | | Unidirectional LSTM | – | 90.2 | -2.2 |

No online phenomenon is complete without a memorable character, and “tante Momoshan” has filled that role perfectly. A charismatic auntie figure, she appears in meme templates holding a steaming bowl of momos (the beloved dumpling snack) while offering sage advice—often in the form of witty one‑liners like, “Jika kamu main ML, jangan lupa makan dulu!” (“If you’re playing ML, don’t forget to eat first!”).

Why Tante Momoshan sticks:

Fun fact: The “tante” archetype has become a staple in Southeast Asian meme culture, bridging generations through humor and shared culinary love. live ml selingkuh tante momoshan keenakan kena doggy new

“Doggy‑new” isn’t a phrase you’d expect in a gaming blog, yet it made headlines when a popular streamer’s pet—an energetic dachshund named Doggy—appeared on screen during a heated Live ML match. The dog’s sudden entrance, complete with a goofy “woof” and a tail‑wag that seemed to “cheer” the player, turned a tense moment into an instant meme. Clips of Doggy’s cameo flooded TikTok, accompanied by captions like “When you need a doggy‑new morale boost.” | Configuration | Removed | Weighted F1 |

What we learned:

Takeaway for creators: Keep the camera rolling; you never know when a furry friend will become the next internet sensation.

| Model | Modality | Params (M) | F1‑score (weighted) | Latency (ms) | |-------|----------|-----------|---------------------|--------------| | SVM + handcrafted (IMU only) | IMU | 0.02 | 68.1 | 12 | | 3‑D CNN (RGB‑D) | Video | 2.1 | 81.3 | 410 | | Audio‑only LSTM | Audio | 0.6 | 73.5 | 120 | | TF‑CRN (proposed) | Multimodal | 1.4 | 92.4 | 180 | | TF‑CRN (quantized) | Multimodal | 0.9 | 90.8 | 95 | Fun fact: The “tante” archetype has become a

| Class | Hours | % of total | Avg. segment length (s) | |-------|------|------------|--------------------------| | Sitting | 140 | 11.7 | 3.2 | | Barking | 80 | 6.7 | 1.5 | | … | … | … | … | | Sleeping | 250 | 20.8 | 6.1 |

Dataset split: 70 % train, 15 % validation, 15 % test, stratified per household to test generalization across environments.